Paper Digest: Recent Papers on Semantic Segmentation
Paper Digest Team extracted all recent Semantic Segmentation related papers on our radar, and generated highlight sentences for them. The results are then sorted by relevance & date. In addition to this ‘static’ page, we also provide a real-time version of this article, which has more coverage and is updated in real time to include the most recent updates on this topic.
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TABLE 1: Paper Digest: Recent Papers on Semantic Segmentation
| Paper | Author(s) | Source | Date | |
|---|---|---|---|---|
| 1 | LangSurf: Language-Embedded Surface Gaussians for 3D Scene Understanding Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To this end, we propose a Language-Embedded Surface Field (LangSurf), which accurately aligns the 3D language fields with the surface of objects, facilitating precise 2D and 3D segmentation with text query, widely expanding the downstream tasks such as removal and editing. |
HAO LI et. al. | arxiv-cs.CV | 2024-12-23 |
| 2 | Multi-Scale Foreground-Background Confidence for Out-of-Distribution Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we present a multi-scale OOD segmentation method that exploits the confidence information of a foreground-background segmentation model. |
Samuel Marschall; Kira Maag; | arxiv-cs.CV | 2024-12-22 |
| 3 | Leveraging Contrastive Learning for Semantic Segmentation with Consistent Labels Across Varying Appearances Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces a novel synthetic dataset that captures urban scenes under a variety of weather conditions, providing pixel-perfect, ground-truth-aligned images to facilitate effective feature alignment across domains. |
JAVIER MONTALVO et. al. | arxiv-cs.CV | 2024-12-21 |
| 4 | VerSe: Integrating Multiple Queries As Prompts for Versatile Cardiac MRI Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, they are semi-automatic and inefficient, due to their reliance on click-based prompts, especially for 3D cardiac MRI volumes. To address these limitations, we propose VerSe, a Versatile Segmentation framework to unify automatic and interactive segmentation through mutiple queries. |
BANGWEI GUO et. al. | arxiv-cs.CV | 2024-12-20 |
| 5 | SGTC: Semantic-Guided Triplet Co-training for Sparsely Annotated Semi-Supervised Medical Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Even worse, most of the existing approaches pay much attention to image-level information and ignore semantic features, resulting in the inability to perceive weak boundaries. To address these issues, we propose a novel Semantic-Guided Triplet Co-training (SGTC) framework, which achieves high-end medical image segmentation by only annotating three orthogonal slices of a few volumetric samples, significantly alleviating the burden of radiologists. |
Ke Yan; Qing Cai; Fan Zhang; Ziyan Cao; Zhi Liu; | arxiv-cs.CV | 2024-12-19 |
| 6 | Spike2Former: Efficient Spiking Transformer for High-performance Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We set a new state-of-the-art for SNNs in various semantic segmentation datasets, with a significant improvement of +12.7% mIoU and 5.0 efficiency on ADE20K, +14.3% mIoU and 5.2 efficiency on VOC2012, and +9.1% mIoU and 6.6 efficiency on CityScapes. |
ZHENXIN LEI et. al. | arxiv-cs.CV | 2024-12-19 |
| 7 | Language-guided Medical Image Segmentation with Target-informed Multi-level Contrastive Alignments Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, we propose a language-guided segmentation network with Target-informed Multi-level Contrastive Alignments (TMCA). |
MINGJIAN LI et. al. | arxiv-cs.CV | 2024-12-18 |
| 8 | Learnable Prompting SAM-induced Knowledge Distillation for Semi-supervised Medical Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a learnable prompting SAM-induced Knowledge distillation framework (KnowSAM) for semi-supervised medical image segmentation. |
KAIWEN HUANG et. al. | arxiv-cs.CV | 2024-12-18 |
| 9 | Incorporating Feature Pyramid Tokenization and Open Vocabulary Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we treat segmentation as tokenizing pixels and study a united perceptual and semantic token compression for all granular understanding and consequently facilitate open vocabulary semantic segmentation. |
Jianyu Zhang; Li Zhang; Shijian Li; | arxiv-cs.CV | 2024-12-18 |
| 10 | RelationField: Relate Anything in Radiance Fields Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, current method primarily focus on object-centric representations, supporting object segmentation or detection, while understanding semantic relationships between objects remains largely unexplored. To address this gap, we propose RelationField, the first method to extract inter-object relationships directly from neural radiance fields. |
SEBASTIAN KOCH et. al. | arxiv-cs.CV | 2024-12-18 |
| 11 | SEG-SAM: Semantic-Guided SAM for Unified Medical Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: SAM has shown promising binary segmentation performance in natural domains, however, transferring it to the medical domain remains challenging, as medical images often possess substantial inter-category overlaps. To address this, we propose the SEmantic-Guided SAM (SEG-SAM), a unified medical segmentation model that incorporates semantic medical knowledge to enhance medical segmentation performance. |
SHUANGPING HUANG et. al. | arxiv-cs.CV | 2024-12-17 |
| 12 | S2S2: Semantic Stacking for Robust Semantic Segmentation in Medical Imaging Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In response, we introduce a novel, domain-agnostic, add-on, and data-driven strategy inspired by image stacking in image denoising. |
Yimu Pan; Sitao Zhang; Alison D. Gernand; Jeffery A. Goldstein; James Z. Wang; | arxiv-cs.CV | 2024-12-17 |
| 13 | Structural Pruning Via Spatial-aware Information Redundancy for Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Within this framework, we introduce a spatial-aware redundancy metric based on feature maps, thus endowing the pruning process with location sensitivity to better adapt to pruning segmentation networks. |
Dongyue Wu; Zilin Guo; Li Yu; Nong Sang; Changxin Gao; | arxiv-cs.CV | 2024-12-17 |
| 14 | Open-World Panoptic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this article, we tackle the problem of open-world panoptic segmentation, i.e., the task of discovering new semantic categories and new object instances at test time, while enforcing consistency among the categories that we incrementally discover. |
Matteo Sodano; Federico Magistri; Jens Behley; Cyrill Stachniss; | arxiv-cs.CV | 2024-12-17 |
| 15 | Classification Drives Geographic Bias in Street Scene Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We examined if instance segmentation models trained on European driving scenes (Eurocentric models) are geo-biased. |
Rahul Nair; Gabriel Tseng; Esther Rolf; Bhanu Tokas; Hannah Kerner; | arxiv-cs.CV | 2024-12-15 |
| 16 | DCSEG: Decoupled 3D Open-Set Segmentation Using Gaussian Splatting Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present a decoupled 3D segmentation pipeline to ensure modularity and adaptability to novel 3D representations and semantic segmentation foundation models. |
Luis Wiedmann; Luca Wiehe; David Rozenberszki; | arxiv-cs.CV | 2024-12-14 |
| 17 | SuperGSeg: Open-Vocabulary 3D Segmentation with Structured Super-Gaussians Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To this end, We introduce SuperGSeg, a novel approach that fosters cohesive, context-aware scene representation by disentangling segmentation and language field distillation. |
SIYUN LIANG et. al. | arxiv-cs.CV | 2024-12-13 |
| 18 | SPT: Sequence Prompt Transformer for Interactive Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, existing methods typically process one image at a time, failing to consider the sequential nature of the images. To overcome this limitation, we propose a novel method called Sequence Prompt Transformer (SPT), the first to utilize sequential image information for interactive segmentation. |
Senlin Cheng; Haopeng Sun; | arxiv-cs.CV | 2024-12-13 |
| 19 | FAMNet: Frequency-aware Matching Network for Cross-domain Few-shot Medical Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Inspired by the characteristics of frequency domain similarity across different domains, we propose a Frequency-aware Matching Network (FAMNet), which includes two key components: a Frequency-aware Matching (FAM) module and a Multi-Spectral Fusion (MSF) module. |
Yuntian Bo; Yazhou Zhu; Lunbo Li; Haofeng Zhang; | arxiv-cs.CV | 2024-12-12 |
| 20 | Benchmarking Large Vision-Language Models Via Directed Scene Graph for Comprehensive Image Captioning Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we introduce a detailed caption benchmark, termed as CompreCap, to evaluate the visual context from a directed scene graph view. |
FAN LU et. al. | arxiv-cs.CV | 2024-12-11 |
| 21 | GCUNet: A GNN-Based Contextual Learning Network for Tertiary Lymphoid Structure Semantic Segmentation in Whole Slide Image Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, this prevents the model from accessing information outside of the patches, limiting the performance. To address this issue, we propose GCUNet, a GNN-based contextual learning network for TLS semantic segmentation. |
Lei Su; Yang Du; | arxiv-cs.CV | 2024-12-08 |
| 22 | Point-GR: Graph Residual Point Cloud Network for 3D Object Classification and Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents Point-GR, a novel deep learning architecture designed explicitly to transform unordered raw point clouds into higher dimensions while preserving local geometric features. |
Md Meraz; Md Afzal Ansari; Mohammed Javed; Pavan Chakraborty; | arxiv-cs.CV | 2024-12-04 |
| 23 | SJTU:Spatial Judgments in Multimodal Models Towards Unified Segmentation Through Coordinate Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper introduces SJTU: Spatial Judgments in multimodal models – Towards Unified segmentation through coordinate detection, a novel framework that leverages spatial coordinate understanding to bridge vision-language interaction and precise segmentation, enabling accurate target identification through natural language instructions. |
Joongwon Chae; Zhenyu Wang; Peiwu Qin; | arxiv-cs.CV | 2024-12-03 |
| 24 | Semantic Segmentation Prior for Diffusion-Based Real-World Super-Resolution Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Additionally, the same region may have a strong response to more than one prompt and it will lead to semantic ambiguity for image super-resolution. To alleviate the above two issues, in this paper, we propose to consider semantic segmentation as an additional control condition into diffusion-based image super-resolution. |
JIAHUA XIAO et. al. | arxiv-cs.CV | 2024-12-03 |
| 25 | Multi-Granularity Video Object Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we aim to generate multi-granularity video segmentation dataset that is annotated for both salient and non-salient masks. |
SANGBEOM LIM et. al. | arxiv-cs.CV | 2024-12-02 |
| 26 | Density-aware Global-Local Attention Network for Point Cloud Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The point cloud data collected in real scenes often contain small objects and categories with small sample sizes, which are difficult to handle by existing networks. In this regard, we propose a point cloud segmentation network that fuses local attention based on density perception with global attention. |
Chade Li; Pengju Zhang; Yihong Wu; | arxiv-cs.CV | 2024-11-30 |
| 27 | GradiSeg: Gradient-Guided Gaussian Segmentation with Enhanced 3D Boundary Precision Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: While 3D Gaussian Splatting enables high-quality real-time rendering, existing Gaussian-based frameworks for 3D semantic segmentation still face significant challenges in boundary recognition accuracy. To address this, we propose a novel 3DGS-based framework named GradiSeg, incorporating Identity Encoding to construct a deeper semantic understanding of scenes. |
ZEHAO LI et. al. | arxiv-cs.CV | 2024-11-30 |
| 28 | LMSeg: Unleashing The Power of Large-Scale Models for Open-Vocabulary Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose to alleviate the above-mentioned issues by leveraging multiple large-scale models to enhance the alignment between fine-grained visual features and enriched linguistic features. |
HUADONG TANG et. al. | arxiv-cs.CV | 2024-11-30 |
| 29 | Bootstraping Clustering of Gaussians for View-consistent 3D Scene Understanding Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we present FreeGS, an unsupervised semantic-embedded 3DGS framework that achieves view-consistent 3D scene understanding without the need for 2D labels. |
WENBO ZHANG et. al. | arxiv-cs.CV | 2024-11-29 |
| 30 | Efficient Track Anything Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: The high computation complexity of multistage image encoder and memory module has limited its applications in real-world tasks, e.g., video object segmentation on mobile devices. To address this limitation, we propose EfficientTAMs, lightweight track anything models that produce high-quality results with low latency and model size. |
YUNYANG XIONG et. al. | arxiv-cs.CV | 2024-11-28 |
| 31 | Box for Mask and Mask for Box: Weak Losses for Multi-task Partially Supervised Learning Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose Box-for-Mask and Mask-for-Box strategies, and their combination BoMBo, to distil necessary information from one task annotations to train the other. |
Hoàng-Ân Lê; Paul Berg; Minh-Tan Pham; | arxiv-cs.CV | 2024-11-26 |
| 32 | A Performance Increment Strategy for Semantic Segmentation of Low-Resolution Images from Damaged Roads Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: A representative dataset for emerging countries consists of low-resolution images of poorly maintained roads and includes labels of damage classes; in this scenario, three challenges arise: objects with few pixels, objects with undefined shapes, and highly underrepresented classes. To tackle these challenges, this work proposes the Performance Increment Strategy for Semantic Segmentation (PISSS) as a methodology of 14 training experiments to boost performance. |
Rafael S. Toledo; Cristiano S. Oliveira; Vitor H. T. Oliveira; Eric A. Antonelo; Aldo von Wangenheim; | arxiv-cs.CV | 2024-11-25 |
| 33 | CLIPer: Hierarchically Improving Spatial Representation of CLIP for Open-Vocabulary Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present a novel hierarchical framework, named CLIPer, that hierarchically improves spatial representation of CLIP. |
Lin Sun; Jiale Cao; Jin Xie; Xiaoheng Jiang; Yanwei Pang; | arxiv-cs.CV | 2024-11-20 |
| 34 | BelHouse3D: A Benchmark Dataset for Assessing Occlusion Robustness in 3D Point Cloud Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Existing 3D benchmarking datasets typically evaluate deep learning models under the assumption that training and test data are independently and identically distributed (IID), which affects the models’ usability for real-world point cloud segmentation. To address these challenges, we introduce the BelHouse3D dataset, a new synthetic point cloud dataset designed for 3D indoor scene semantic segmentation. |
Umamaheswaran Raman Kumar; Abdur Razzaq Fayjie; Jurgen Hannaert; Patrick Vandewalle; | arxiv-cs.CV | 2024-11-20 |
| 35 | SAM Carries The Burden: A Semi-Supervised Approach Refining Pseudo Labels for Medical Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: The recently introduced Segment Anything Model (SAM) enables prompt-based segmentation and offers zero-shot generalization to unfamiliar objects. |
RON KEUTH et. al. | arxiv-cs.CV | 2024-11-19 |
| 36 | MAIRA-Seg: Enhancing Radiology Report Generation with Segmentation-Aware Multimodal Large Language Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce MAIRA-Seg, a segmentation-aware MLLM framework designed to utilize semantic segmentation masks alongside CXRs for generating radiology reports. |
HARSHITA SHARMA et. al. | arxiv-cs.CV | 2024-11-18 |
| 37 | TP-UNet: Temporal Prompt Guided UNet for Medical Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To efficiently integrate temporal information, we propose TP-UNet that utilizes temporal prompts, encompassing organ-construction relationships, to guide the segmentation UNet model. |
Ranmin Wang; Limin Zhuang; Hongkun Chen; Boyan Xu; Ruichu Cai; | arxiv-cs.CV | 2024-11-18 |
| 38 | ITACLIP: Boosting Training-Free Semantic Segmentation with Image, Text, and Architectural Enhancements Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this study, we enhance the semantic segmentation performance of CLIP by introducing new modules and modifications: 1) architectural changes in the last layer of ViT and the incorporation of attention maps from the middle layers with the last layer, 2) Image Engineering: applying data augmentations to enrich input image representations, and 3) using Large Language Models (LLMs) to generate definitions and synonyms for each class name to leverage CLIP’s open-vocabulary capabilities. |
M. Arda Aydın; Efe Mert Çırpar; Elvin Abdinli; Gozde Unal; Yusuf H. Sahin; | arxiv-cs.CV | 2024-11-18 |
| 39 | CorrCLIP: Reconstructing Correlations in CLIP with Off-the-Shelf Foundation Models for Open-Vocabulary Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we introduce CorrCLIP, a training-free approach for open-vocabulary semantic segmentation, which reconstructs significantly coherent inter-patch correlations utilizing foundation models. |
Dengke Zhang; Fagui Liu; Quan Tang; | arxiv-cs.CV | 2024-11-15 |
| 40 | Harnessing Vision Foundation Models for High-Performance, Training-Free Open Vocabulary Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Specifically, we introduce Trident, a training-free framework that first splices features extracted by CLIP and DINO from sub-images, then leverages SAM’s encoder to create a correlation matrix for global aggregation, enabling a broadened receptive field for effective segmentation. |
Yuheng Shi; Minjing Dong; Chang Xu; | arxiv-cs.CV | 2024-11-14 |
| 41 | Slender Object Scene Segmentation in Remote Sensing Image Based on Learnable Morphological Skeleton with Segment Anything Model Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a new approach that integrates learnable morphological skeleton prior into deep neural networks using the variational method. |
JUN XIE et. al. | arxiv-cs.CV | 2024-11-13 |
| 42 | Zero-shot Capability of SAM-family Models for Bone Segmentation in CT Scans Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The Segment Anything Model (SAM) and similar models build a family of promptable foundation models (FMs) for image and video segmentation. |
Caroline Magg; Hoel Kervadec; Clara I. Sánchez; | arxiv-cs.CV | 2024-11-13 |
| 43 | Superpixel Segmentation: A Long-Lasting Ill-Posed Problem Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Concurrently, recent deep learning-based superpixel methods mainly focus on the object segmentation task at the expense of regularity. |
Rémi Giraud; Michaël Clément; | arxiv-cs.CV | 2024-11-10 |
| 44 | ZAHA: Introducing The Level of Facade Generalization and The Large-Scale Point Cloud Facade Semantic Segmentation Benchmark Dataset Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In ZAHA, we introduce Level of Facade Generalization (LoFG), novel hierarchical facade classes designed based on international urban modeling standards, ensuring compatibility with real-world challenging classes and uniform methods’ comparison. |
OLAF WYSOCKI et. al. | arxiv-cs.CV | 2024-11-07 |
| 45 | OLAF: A Plug-and-Play Framework for Enhanced Multi-object Multi-part Scene Parsing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To address the task, we propose a plug-and-play approach termed OLAF. |
Pranav Gupta; Rishubh Singh; Pradeep Shenoy; Ravikiran Sarvadevabhatla; | arxiv-cs.CV | 2024-11-05 |
| 46 | Rethinking Decoders for Transformer-based Semantic Segmentation: Compression Is All You Need Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we argue that there are fundamental connections between semantic segmentation and compression, especially between the Transformer decoders and Principal Component Analysis (PCA). |
Qishuai Wen; Chun-Guang Li; | arxiv-cs.CV | 2024-11-05 |
| 47 | Free-Mask: A Novel Paradigm of Integration Between The Segmentation Diffusion Model and Image Editing to Improve Segmentation Ability Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, previous methods have been limited to generating single-instance images, as the generation of multiple instances with Stable Diffusion has proven unstable. To address this limitation and expand the scope and diversity of synthetic datasets, we propose a framework \textbf{Free-Mask} that combines a Diffusion Model for segmentation with advanced image editing capabilities, allowing for the integration of multiple objects into images via text-to-image models. |
Bo Gao; Fangxu Xing; Daniel Tang; | arxiv-cs.CV | 2024-11-04 |
| 48 | Enhanced Scene Understanding and Situation Awareness for Autonomous Vehicles Based on Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Accurate visual perception and comprehensive scene understanding are critical for the safety and reliability of autonomous vehicles (AVs). Nevertheless, the efficacy of visual … |
YIYUE ZHAO et. al. | IEEE Transactions on Systems, Man, and Cybernetics: Systems | 2024-11-01 |
| 49 | Cityscape-Adverse: Benchmarking Robustness of Semantic Segmentation with Realistic Scene Modifications Via Diffusion-Based Image Editing Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we introduce Cityscape-Adverse, a benchmark that employs diffusion-based image editing to simulate eight adverse conditions, including variations in weather, lighting, and seasons, while preserving the original semantic labels. |
NAUFAL SURYANTO et. al. | arxiv-cs.CV | 2024-11-01 |
| 50 | Cross-modal Semantic Segmentation for Indoor Environmental Perception Using Single-chip Millimeter-wave Radar Raw Data Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To efficiently obtain high-quality labels, an automatic label generation method utilizing LiDAR point clouds and occupancy grid maps is introduced. |
Hairuo Hu; Haiyong Cong; Zhuyu Shao; Yubo Bi; Jinghao Liu; | arxiv-cs.CV | 2024-11-01 |
| 51 | Image Synthesis with Class-Aware Semantic Diffusion Models for Surgical Scene Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In response, we propose the Class-Aware Semantic Diffusion Model (CASDM), a novel approach which utilizes segmentation maps as conditions for image synthesis to tackle data scarcity and imbalance. |
Yihang Zhou; Rebecca Towning; Zaid Awad; Stamatia Giannarou; | arxiv-cs.CV | 2024-10-31 |
| 52 | S3PT: Scene Semantics and Structure Guided Clustering to Boost Self-Supervised Pre-Training for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose S3PT a novel scene semantics and structure guided clustering to provide more scene-consistent objectives for self-supervised training. |
MACIEJ K. WOZNIAK et. al. | arxiv-cs.CV | 2024-10-30 |
| 53 | Continuous Spatio-Temporal Memory Networks for 4D Cardiac Cine MRI Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Inspired by recent advances in video object segmentation (VOS), based on spatio-temporal memory (STM) networks, we propose a continuous STM (CSTM) network for semi-supervised whole heart and whole sequence cMR segmentation. |
Meng Ye; Bingyu Xin; Leon Axel; Dimitris Metaxas; | arxiv-cs.CV | 2024-10-30 |
| 54 | Every Component Counts: Rethinking The Measure of Success for Medical Semantic Segmentation in Multi-Instance Segmentation Tasks Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present Connected-Component~(CC)-Metrics, a novel semantic segmentation evaluation protocol, targeted to align existing semantic segmentation metrics to a multi-instance detection scenario in which each connected component matters. |
ALEXANDER JAUS et. al. | arxiv-cs.CV | 2024-10-24 |
| 55 | Surgical Scene Segmentation By Transformer With Asymmetric Feature Enhancement Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Secondly, the specific characteristics of anatomy and instruments are not specifically modeled. To tackle the above challenges, we propose a novel Transformer-based framework with an Asymmetric Feature Enhancement module (TAFE), which enhances local information and then actively fuses the improved feature pyramid into the embeddings from transformer encoders by a multi-scale interaction attention strategy. |
Cheng Yuan; Yutong Ban; | arxiv-cs.CV | 2024-10-23 |
| 56 | Multi Kernel Estimation Based Object Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper presents a novel approach for multi-kernel estimation by enhancing the KernelGAN algorithm, which traditionally estimates a single kernel for the entire image. |
Haim Goldfisher; Asaf Yekutiel; | arxiv-cs.CV | 2024-10-22 |
| 57 | SAM2Long: Enhancing SAM 2 for Long Video Segmentation with A Training-Free Memory Tree Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To this end, we introduce SAM2Long, an improved training-free video object segmentation strategy, which considers the segmentation uncertainty within each frame and chooses the video-level optimal results from multiple segmentation pathways in a constrained tree search manner. |
SHUANGRUI DING et. al. | arxiv-cs.CV | 2024-10-21 |
| 58 | SemSim: Revisiting Weak-to-Strong Consistency from A Semantic Similarity Perspective for Semi-supervised Medical Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, two key limitations still persist, impeding its efficient adaptation: (1) the neglect of contextual dependencies results in inconsistent predictions for similar semantic features, leading to incomplete object segmentation; (2) the lack of exploitation of semantic similarity between labeled and unlabeled data induces considerable class-distribution discrepancy. To address these limitations, we propose a novel semi-supervised framework based on FixMatch, named SemSim, powered by two appealing designs from semantic similarity perspective: (1) rectifying pixel-wise prediction by reasoning about the intra-image pair-wise affinity map, thus integrating contextual dependencies explicitly into the final prediction; (2) bridging labeled and unlabeled data via a feature querying mechanism for compact class representation learning, which fully considers cross-image anatomical similarities. |
SHIAO XIE et. al. | arxiv-cs.CV | 2024-10-17 |
| 59 | Railway LiDAR Semantic Segmentation Based on Intelligent Semi-automated Data Annotation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Thus, we propose an approach for a point-wise 3D semantic segmentation based on the 2DPass network architecture using scans and images jointly. |
Florian Wulff; Bernd Schaeufele; Julian Pfeifer; Ilja Radusch; | arxiv-cs.CV | 2024-10-17 |
| 60 | Adaptive Prompt Learning with SAM for Few-shot Scanning Probe Microscope Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Code and dataset used in this study will be made available upon acceptance. |
YAO SHEN et. al. | arxiv-cs.CV | 2024-10-16 |
| 61 | InvSeg: Test-Time Prompt Inversion for Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, a significant challenge arises due to the input distributional discrepancy between the context-rich sentences used for image generation and the isolated class names typically employed in semantic segmentation, hindering the diffusion models from capturing accurate visual-textual correlations. To solve this, we propose InvSeg, a test-time prompt inversion method that tackles open-vocabulary semantic segmentation by inverting image-specific visual context into text prompt embedding space, leveraging structure information derived from the diffusion model’s reconstruction process to enrich text prompts so as to associate each class with a structure-consistent mask. |
Jiayi Lin; Jiabo Huang; Jian Hu; Shaogang Gong; | arxiv-cs.CV | 2024-10-15 |
| 62 | RClicks: Realistic Click Simulation for Benchmarking Interactive Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Using our model and dataset, we propose RClicks benchmark for a comprehensive comparison of existing interactive segmentation methods on realistic clicks. |
ANTON ANTONOV et. al. | arxiv-cs.CV | 2024-10-15 |
| 63 | LKASeg:Remote-Sensing Image Semantic Segmentation with Large Kernel Attention and Full-Scale Skip Connections Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a remote-sensing image semantic segmentation network named LKASeg, which combines Large Kernel Attention(LSKA) and Full-Scale Skip Connections(FSC). |
XUEZHI XIANG et. al. | arxiv-cs.CV | 2024-10-14 |
| 64 | Text4Seg: Reimagining Image Segmentation As Text Generation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we introduce Text4Seg, a novel text-as-mask paradigm that casts image segmentation as a text generation problem, eliminating the need for additional decoders and significantly simplifying the segmentation process. |
MENGCHENG LAN et. al. | arxiv-cs.CV | 2024-10-13 |
| 65 | High-Precision Dichotomous Image Segmentation Via Probing Diffusion Capacity Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To this end, we propose DiffDIS, a diffusion-driven segmentation model that taps into the potential of the pre-trained U-Net within diffusion models, specifically designed for high-resolution, fine-grained object segmentation. |
QIAN YU et. al. | arxiv-cs.CV | 2024-10-13 |
| 66 | Uncertainty Estimation and Out-of-Distribution Detection for LiDAR Scene Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a method to distinguish in-distribution (ID) from OOD samples and quantify both epistemic and aleatoric uncertainties using the feature space of a single deterministic model. |
Hanieh Shojaei; Qianqian Zou; Max Mehltretter; | arxiv-cs.LG | 2024-10-11 |
| 67 | VideoSAM: Open-World Video Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To this end, we introduce VideoSAM, an end-to-end framework designed to address these challenges by improving object tracking and segmentation consistency in dynamic environments. |
PINXUE GUO et. al. | arxiv-cs.CV | 2024-10-11 |
| 68 | Are We Ready for Real-Time LiDAR Semantic Segmentation in Autonomous Driving? Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: These characteristics hinder the real-time semantic analysis, particularly on resource-constrained hardware architectures that constitute the main computational components of numerous robotic applications. Therefore, in this paper, we investigate various 3D semantic segmentation methodologies and analyze their performance and capabilities for resource-constrained inference on embedded NVIDIA Jetson platforms. |
Samir Abou Haidar; Alexandre Chariot; Mehdi Darouich; Cyril Joly; Jean-Emmanuel Deschaud; | arxiv-cs.RO | 2024-10-10 |
| 69 | Data Augmentation for Surgical Scene Segmentation with Anatomy-Aware Diffusion Models Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce a multi-stage approach using diffusion models to generate multi-class surgical datasets with annotations. |
Danush Kumar Venkatesh; Dominik Rivoir; Micha Pfeiffer; Fiona Kolbinger; Stefanie Speidel; | arxiv-cs.CV | 2024-10-10 |
| 70 | Shift and Matching Queries for Video Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a method to extend a query-based image segmentation model to video using feature shift and query matching. |
Tsubasa Mizuno; Toru Tamaki; | arxiv-cs.CV | 2024-10-10 |
| 71 | Rethinking The Evaluation of Visible and Infrared Image Fusion Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper proposes a Segmentation-oriented Evaluation Approach (SEA) to assess VIF methods by incorporating the semantic segmentation task and leveraging segmentation labels available in latest VIF datasets. |
Dayan Guan; Yixuan Wu; Tianzhu Liu; Alex C. Kot; Yanfeng Gu; | arxiv-cs.CV | 2024-10-09 |
| 72 | Open-RGBT: Open-vocabulary RGB-T Zero-shot Semantic Segmentation in Open-world Environments Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, these models face challenges in dealing with intricate scenes, primarily due to the heterogeneity between RGB and thermal modalities. To address this gap, we present Open-RGBT, a novel open-vocabulary RGB-T semantic segmentation model. |
Meng Yu; Luojie Yang; Xunjie He; Yi Yang; Yufeng Yue; | arxiv-cs.CV | 2024-10-09 |
| 73 | Evaluating The Impact of Point Cloud Colorization on Semantic Segmentation Accuracy Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel statistical approach to evaluate the impact of inaccurate RGB information on image-based point cloud segmentation. |
Qinfeng Zhu; Jiaze Cao; Yuanzhi Cai; Lei Fan; | arxiv-cs.CV | 2024-10-09 |
| 74 | Scribbles for All: Benchmarking Scribble Supervised Segmentation Across Datasets Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we introduce *Scribbles for All*, a label and training data generation algorithm for semantic segmentation trained on scribble labels. |
Wolfgang Boettcher; Lukas Hoyer; Ozan Unal; Jan Eric Lenssen; Bernt Schiele; | nips | 2024-10-07 |
| 75 | Toward Real Ultra Image Segmentation: Leveraging Surrounding Context to Cultivate General Segmentation Model Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Existing ultra image segmentation methods suffer from two major challenges, namely the generalization issue (i.e. they lack the stability and generality of standard segmentation models, as they are tailored to specific datasets), and the architectural issue (i.e. they are incompatible with real-world ultra image scenes, as they compromise between image size and computing resources). To tackle these issues, we revisit the classic sliding inference framework, upon which we propose a Surrounding Guided Segmentation framework (SGNet) for ultra image segmentation. |
Sai Wang; Yutian Lin; Yu Wu; Bo Du; | nips | 2024-10-07 |
| 76 | MetaUAS: Universal Anomaly Segmentation with One-Prompt Meta-Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we explore how far we can go with visual information alone without any guidance from language for universal anomaly segmentation. |
Bin-Bin Gao; | nips | 2024-10-07 |
| 77 | SegVol: Universal and Interactive Volumetric Medical Image Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a 3D foundation segmentation model, named SegVol, supporting universal and interactive volumetric medical image segmentation. |
Yuxin Du; Fan BAI; Tiejun Huang; Bo Zhao; | nips | 2024-10-07 |
| 78 | A Unified Framework for 3D Scene Understanding Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose UniSeg3D, a unified 3D segmentation framework that achieves panoptic, semantic, instance, interactive, referring, and open-vocabulary semantic segmentation tasks within a single model. |
WEI XU et. al. | nips | 2024-10-07 |
| 79 | Geometric Exploitation for Indoor Panoramic Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Unlike previous works, in this paper, we propose a novel approach for semantic segmentation of panoramic images. |
Duc Cao Dinh; Seok Kim; Kyusung Cho; | nips | 2024-10-07 |
| 80 | Arctique: An Artificial Histopathological Dataset Unifying Realism and Controllability for Uncertainty Quantification Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To unify both controllability and complexity, we introduce Arctique, a procedurally generated dataset modeled after histopathological colon images. |
JANNIK FRANZEN et. al. | nips | 2024-10-07 |
| 81 | Zero-Shot Image Segmentation Via Recursive Normalized Cut on Diffusion Features Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we consider a diffusion UNet encoder as a foundation vision encoder and we introduce DiffCut, an unsupervised zero-shot segmentation method that solely harnesses the output features from the final self-attention block. |
Paul Couairon; Mustafa Shukor; Jean-Emmanuel HAUGEARD; Matthieu Cord; Nicolas THOME; | nips | 2024-10-07 |
| 82 | Unsupervised Hierarchy-Agnostic Segmentation: Parsing Semantic Image Structure Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce a novel algebraic methodology for unsupervised image segmentation. |
Simone Rossetti; fiora pirri; | nips | 2024-10-07 |
| 83 | Relationship Prompt Learning Is Enough for Open-Vocabulary Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Prompt learning offers a direct and parameter-efficient approach, yet it falls short in guiding VLM for pixel-level visual localization. Therefore, we propose relationship prompt module (RPM), which generates relationship prompt that directs VLM to extract pixel-level semantic embeddings suitable for OVSS. |
li Jiahao; Yanyun Qu; Yuan Xie; Yang Lu; | nips | 2024-10-07 |
| 84 | Towards Open-Vocabulary Semantic Segmentation Without Semantic Labels Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a novel method, MCLIP, to adapt the CLIP image encoder for pixel-level understanding by guiding the model on where, which is achieved using unlabeled images and masks generated from vision foundation models such as SAM and DINO. |
HEESEONG SHIN et. al. | nips | 2024-10-07 |
| 85 | One Token to Seg Them All: Language Instructed Reasoning Segmentation in Videos Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce VideoLISA, a video-based multimodal large language model designed to tackle the problem of language-instructed reasoning segmentation in videos. |
ZECHEN BAI et. al. | nips | 2024-10-07 |
| 86 | DeiSAM: Segment Anything with Deictic Prompting Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, deep learning approaches cannot reliably interpret such deictic representations due to their lack of reasoning capabilities in complex scenarios. To remedy this issue, we propose DeiSAM — a combination of large pre-trained neural networks with differentiable logic reasoners — for deictic promptable segmentation. |
HIKARU SHINDO et. al. | nips | 2024-10-07 |
| 87 | AdaptDiff: Cross-Modality Domain Adaptation Via Weak Conditional Semantic Diffusion for Retinal Vessel Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, despite its promise, deep learning has many challenges in practice due to its inability to effectively transition to unseen domains, caused by the inherent data distribution shift and the lack of manual annotations to guide domain adaptation. To tackle this problem, we present an unsupervised domain adaptation (UDA) method named AdaptDiff that enables a retinal vessel segmentation network trained on fundus photography (FP) to produce satisfactory results on unseen modalities (e.g., OCT-A) without any manual labels. |
DEWEI HU et. al. | arxiv-cs.CV | 2024-10-06 |
| 88 | Unleashing The Potential of The Diffusion Model in Few-shot Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Our initial focus lies in understanding how to facilitate interaction between the query image and the support image, resulting in the proposal of a KV fusion method within the self-attention framework. |
MUZHI ZHU et. al. | arxiv-cs.CV | 2024-10-03 |
| 89 | Semantic Segmentation of Unmanned Aerial Vehicle Remote Sensing Images Using SegFormer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper evaluates the effectiveness and efficiency of SegFormer, a semantic segmentation framework, for the semantic segmentation of UAV images. |
Vlatko Spasev; Ivica Dimitrovski; Ivan Chorbev; Ivan Kitanovski; | arxiv-cs.CV | 2024-10-01 |
| 90 | Deep Multimodal Fusion for Semantic Segmentation of Remote Sensing Earth Observation Data Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes a late fusion deep learning model (LF-DLM) for semantic segmentation that leverages the complementary strengths of both VHR aerial imagery and SITS. |
Ivica Dimitrovski; Vlatko Spasev; Ivan Kitanovski; | arxiv-cs.CV | 2024-10-01 |
| 91 | Multi-Bottleneck Progressive Propulsion Network for Medical Image Semantic Segmentation with Integrated Macro-micro Dual-stage Feature Enhancement and Refinement Related Papers Related Patents Related Grants Related Venues Related Experts View |
YUEFEI WANG et. al. | Expert Syst. Appl. | 2024-10-01 |
| 92 | I-MedSAM: Implicit Medical Image Segmentation with Segment Anything Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose I-MedSAM, which leverages the benefits of both continuous representations and SAM, to obtain better cross-domain ability and accurate boundary delineation. |
XIAOBAO WEI et. al. | eccv | 2024-09-30 |
| 93 | PSALM: Pixelwise Segmentation with Large Multi-modal Model Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To overcome the limitation of the LMM being limited to textual output, PSALM incorporates a mask decoder and a well-designed input schema to handle a variety of segmentation tasks. This schema includes images, task instructions, conditional prompts, and mask tokens, which enable the model to generate and classify segmentation masks effectively. |
Zheng Zhang; yeyao ma; Enming Zhang; Xiang Bai; | eccv | 2024-09-30 |
| 94 | Knowledge Transfer with Simulated Inter-Image Erasing for Weakly Supervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Though adversarial erasing has prevailed in weakly supervised semantic segmentation to help activate integral object regions, existing approaches still suffer from the dilemma of under-activation and over-expansion due to the difficulty in determining when to stop erasing. In this paper, we propose a Knowledge Transfer with Simulated Inter-Image Erasing (KTSE) approach for weakly supervised semantic segmentation to alleviate the above problem. |
TAO CHEN et. al. | eccv | 2024-09-30 |
| 95 | In Defense of Lazy Visual Grounding for Open-Vocabulary Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present Lazy Visual Grounding for open-vocabulary semantic segmentation, which decouples unsupervised object mask discovery from object grounding. |
Dahyun Kang; Minsu Cho; | eccv | 2024-09-30 |
| 96 | Explore The Potential of CLIP for Training-Free Open Vocabulary Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Our study delves into the impact of CLIP’s [CLS] token on patch feature correlations, revealing a dominance of ”global” patches that hinders local feature discrimination. To overcome this, we propose CLIPtrase, a novel training-free semantic segmentation strategy that enhances local feature awareness through recalibrated self-correlation among patches. |
Tong Shao; Zhuotao Tian; Hang Zhao; Jingyong Su; | eccv | 2024-09-30 |
| 97 | Beyond Pixels: Semi-Supervised Semantic Segmentation with A Multi-scale Patch-based Multi-Label Classifier Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we show that an effective way to incorporate contextual information is through a patch-based classifier. |
Prantik Howlader; Srijan Das; Hieu Le; Dimitris Samaras; | eccv | 2024-09-30 |
| 98 | SegPoint: Segment Any Point Cloud Via Large Language Model Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a model, called , that leverages the reasoning capabilities of a multi-modal Large Language Model (LLM) to produce point-wise segmentation masks across a diverse range of tasks: 1) 3D instruction segmentation, 2) 3D referring segmentation, 3) 3D semantic segmentation, and 4) 3D open-vocabulary semantic segmentation.To advance 3D instruction research, we introduce a new benchmark, , designed to evaluate segmentation performance from complex and implicit instructional texts, featuring point cloud-instruction pairs. |
Shuting He; Henghui Ding; Xudong Jiang; Bihan Wen; | eccv | 2024-09-30 |
| 99 | SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language Guidance Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To adapt the VLM from global to local reasoning, we introduce a spatial fine-tuning strategy for label-efficient learning. |
Lukas Hoyer; David Joseph Tan; Muhammad Ferjad Naeem; Luc Van Gool; Federico Tombari; | eccv | 2024-09-30 |
| 100 | Enriching Information and Preserving Semantic Congruence in Expanding Curvilinear Object Segmentation Datasets Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Curvilinear object segmentation plays a crucial role across various applications, yet datasets in this domain often suffer from small scale due to the high costs associated with data acquisition and annotation. To address these challenges, this paper introduces a novel approach for expanding curvilinear object segmentation datasets, focusing on enhancing the informativeness of generated data and the consistency between semantic maps and generated images. |
Qin Lei; Jiang Zhong; Qizhu Dai; | eccv | 2024-09-30 |
| 101 | Open-Vocabulary Camouflaged Object Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To fill in the gaps, we introduce a new task, open-vocabulary camouflaged object segmentation (OVCOS), and construct a large-scale complex scene dataset (OVCamo) containing 11,483 hand-selected images with fine annotations and corresponding object classes. |
Youwei Pang; Xiaoqi Zhao; JiaMing Zuo; Lihe Zhang; Huchuan Lu; | eccv | 2024-09-30 |
| 102 | On The Viability of Monocular Depth Pre-training for Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We find that monocular depth is a viable form of pre-training for semantic segmentation, validated by improvements over common baselines. Based on the findings, we propose several possible mechanisms behind the improvements, including their relation to dataset size, resolution, architecture, in/out-of-domain source data, and validate them through a wide range of ablation studies. |
DONG LAO et. al. | eccv | 2024-09-30 |
| 103 | From Pixels to Objects: A Hierarchical Approach for Part and Object Segmentation Using Local and Global Aggregation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce a hierarchical transformer-based model designed for sophisticated image segmentation tasks, effectively bridging the granularity of part segmentation with the comprehensive scope of object segmentation. |
Yunfei Xie; Cihang Xie; Alan Yuille; Jieru Mei; | eccv | 2024-09-30 |
| 104 | Open Panoramic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To further enhance the distortion-aware modeling ability from the pinhole source domain, we propose a novel data augmentation method called Random Equirectangular Projection (RERP) which is specifically designed to address object deformations in advance. |
JUNWEI ZHENG et. al. | eccv | 2024-09-30 |
| 105 | Boosting Gaze Object Prediction Via Pixel-level Supervision from Vision Foundation Model Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper presents a more challenging gaze object segmentation (GOS) task, which involves inferring the pixel-level mask corresponding to the object captured by human gaze behavior. |
Yang Jin; Lei Zhang; Shi Yan; Bin Fan; Binglu Wang; | eccv | 2024-09-30 |
| 106 | Placing Objects in Context Via Inpainting for Out-of-distribution Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose the Placing Objects in Context (POC) pipeline to realistically add any object into any image via diffusion models. |
Pau de Jorge Aranda; Riccardo Volpi; Puneet Dokania; Philip Torr; Gregory Rogez; | eccv | 2024-09-30 |
| 107 | Segment3D: Learning Fine-Grained Class-Agnostic 3D Segmentation Without Manual Labels IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In contrast, recent 2D foundation models have demonstrated strong generalization and impressive zero-shot abilities, inspiring us to incorporate these characteristics from 2D models into 3D models. Therefore, we explore the use of image segmentation foundation models to automatically generate high-quality training labels for 3D segmentation models. |
RUI HUANG et. al. | eccv | 2024-09-30 |
| 108 | Open-Vocabulary RGB-Thermal Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Second, when fusing RGB and thermal images, they often need to design complex fusion network structures, which usually results in low network training efficiency. We present OpenRSS, the Open-vocabulary RGB-T Semantic Segmentation method, to solve these two disadvantages. |
GUOQIANG ZHAO et. al. | eccv | 2024-09-30 |
| 109 | 3D Weakly Supervised Semantic Segmentation with 2D Vision-Language Guidance Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose 3DSS-VLG, a weakly supervised approach for 3D Semantic Segmentation with 2D Vision-Language Guidance, an alternative approach that a 3D model predicts dense-embedding for each point which is co-embedded with both the aligned image and text spaces from the 2D vision-language model. |
XIAOXU XU et. al. | eccv | 2024-09-30 |
| 110 | View-Consistent Hierarchical 3D Segmentation Using Ultrametric Feature Fields Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we address the challenging task of lifting multi-granular and view-inconsistent image segmentations into a hierarchical and 3D-consistent representation. |
Haodi He; Colton Stearns; Adam Harley; Leonidas Guibas; | eccv | 2024-09-30 |
| 111 | MeshSegmenter: Zero-Shot Mesh Segmentation Via Texture Synthesis Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present MeshSegmenter, a simple yet effective framework designed for zero-shot 3D semantic segmentation. |
ZIMING ZHONG et. al. | eccv | 2024-09-30 |
| 112 | RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To effectively embed high-dimensional features, we propose a double-nested autoencoder structure with a novel class-aware embedding objective to encode high-dimensional features into manageable voxel-wise embeddings. |
Li Li; Hubert P. H. Shum; Toby P Breckon; | eccv | 2024-09-30 |
| 113 | Class-Agnostic Visio-Temporal Scene Sketch Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a Class-Agnostic Visio-Temporal Network (CAVT) for scene sketch semantic segmentation. |
Aleyna Kütük; Tevfik Metin Sezgin; | arxiv-cs.CV | 2024-09-30 |
| 114 | Dataset Enhancement with Instance-Level Augmentations Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present a method for expanding a dataset by incorporating knowledge from the wide distribution of pre-trained latent diffusion models. |
Orest Kupyn; Christian Rupprecht; | eccv | 2024-09-30 |
| 115 | OLAF: A Plug-and-Play Framework for Enhanced Multi-object Multi-part Scene Parsing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To address the task, we propose a plug-and-play approach termed OLAF. |
Pranav Gupta; Rishubh Singh; Pradeep Shenoy; Ravi Kiran Sarvadevabhatla; | eccv | 2024-09-30 |
| 116 | VISA: Reasoning Video Object Segmentation Via Large Language Model Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce a new task, Reasoning Video Object Segmentation (ReasonVOS). |
CILIN YAN et. al. | eccv | 2024-09-30 |
| 117 | Occlusion-Aware Seamless Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Panoramic images can broaden the Field of View (FoV), occlusion-aware prediction can deepen the understanding of the scene, and domain adaptation can transfer across viewing domains. In this work, we introduce a novel task, Occlusion-Aware Seamless Segmentation (OASS), which simultaneously tackles all these three challenges. |
YIHONG CAO et. al. | eccv | 2024-09-30 |
| 118 | MTMamba: Enhancing Multi-Task Dense Scene Understanding By Mamba-Based Decoders Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose MTMamba, a novel Mamba-based architecture for multi-task scene understanding. |
BAIJIONG LIN et. al. | eccv | 2024-09-30 |
| 119 | Can Textual Semantics Mitigate Sounding Object Segmentation Preference? Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Motivated by the the fact that text modality is well explored and contains rich abstract semantics, we propose leveraging text cues from the visual scene to enhance audio guidance with the semantics inherent in text. |
Yaoting Wang; Peiwen Sun; Yuanchao Li; Honggang Zhang; Di Hu; | eccv | 2024-09-30 |
| 120 | Betrayed By Attention: A Simple Yet Effective Approach for Self-supervised Video Object Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a simple yet effective approach for self-supervised video object segmentation (VOS). |
Shuangrui Ding; Rui Qian; Haohang Xu; Dahua Lin; Hongkai Xiong; | eccv | 2024-09-30 |
| 121 | Towards Reliable Evaluation and Fast Training of Robust Semantic Segmentation Models Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose several problem-specific novel attacks minimizing different metrics in accuracy and mIoU. |
Francesco Croce; Naman D. Singh; Matthias Hein; | eccv | 2024-09-30 |
| 122 | O2V-Mapping: Online Open-Vocabulary Mapping with Neural Implicit Representation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: For the purpose of preserving consistency in 3D object properties across different viewpoints, we propose a spatial adaptive voxel adjustment mechanism and a multi-view weight selection method. |
MUER TIE et. al. | eccv | 2024-09-30 |
| 123 | Segment and Recognize Anything at Any Granularity Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we introduce , an augmented image segmentation foundation for segmenting and recognizing anything at desired granularities. |
FENG LI et. al. | eccv | 2024-09-30 |
| 124 | SegGen: Supercharging Segmentation Models with Text2Mask and Mask2Img Synthesis Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present , a new data generation approach that pushes the performance boundaries of state-of-the-art image segmentation models. |
HANRONG YE et. al. | eccv | 2024-09-30 |
| 125 | One Token to Seg Them All: Language Instructed Reasoning Segmentation in Videos Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce VideoLISA, a video-based multimodal large language model designed to tackle the problem of language-instructed reasoning segmentation in videos. |
ZECHEN BAI et. al. | arxiv-cs.CV | 2024-09-29 |
| 126 | Get It For Free: Radar Segmentation Without Expert Labels and Its Application in Odometry and Localization Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a novel weakly supervised semantic segmentation method for radar segmentation, where the existing LiDAR semantic segmentation models are employed to generate semantic labels, which then serve as supervision signals for training a radar semantic segmentation model. |
Siru Li; Ziyang Hong; Yushuai Chen; Liang Hu; Jiahu Qin; | arxiv-cs.RO | 2024-09-26 |
| 127 | Global-Local Medical SAM Adaptor Based on Full Adaption Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, Med-SA still can be improved, as it fine-tunes SAM in a partial adaption manner. To resolve this problem, we present a novel global medical SAM adaptor (GMed-SA) with full adaption, which can adapt SAM globally. |
MENG WANG et. al. | arxiv-cs.AI | 2024-09-25 |
| 128 | Go-SLAM: Grounded Object Segmentation and Localization with Gaussian Splatting SLAM Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce Go-SLAM, a novel framework that utilizes 3D Gaussian Splatting SLAM to reconstruct dynamic environments while embedding object-level information within the scene representations. |
Phu Pham; Dipam Patel; Damon Conover; Aniket Bera; | arxiv-cs.RO | 2024-09-25 |
| 129 | Potential Field As Scene Affordance for Behavior Change-Based Visual Risk Object Identification Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we compute potential fields by assigning different energy levels according to the semantic labels obtained from BEV semantic segmentation. |
Pang-Yuan Pao; Shu-Wei Lu; Ze-Yan Lu; Yi-Ting Chen; | arxiv-cs.CV | 2024-09-24 |
| 130 | The BRAVO Semantic Segmentation Challenge Results in UNCV2024 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose the unified BRAVO challenge to benchmark the reliability of semantic segmentation models under realistic perturbations and unknown out-of-distribution (OOD) scenarios. |
TUAN-HUNG VU et. al. | arxiv-cs.CV | 2024-09-23 |
| 131 | ZeroSCD: Zero-Shot Street Scene Change Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Traditional change detection methods rely on training models that take these image pairs as input and estimate the changes, which requires large amounts of annotated data, a costly and time-consuming process. To overcome this, we propose ZeroSCD, a zero-shot scene change detection framework that eliminates the need for training. |
Shyam Sundar Kannan; Byung-Cheol Min; | arxiv-cs.RO | 2024-09-23 |
| 132 | MOSE: Monocular Semantic Reconstruction Using NeRF-Lifted Noisy Priors Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose MOSE, a neural field semantic reconstruction approach to lift inferred image-level noisy priors to 3D, producing accurate semantics and geometry in both 3D and 2D space. |
Zhenhua Du; Binbin Xu; Haoyu Zhang; Kai Huo; Shuaifeng Zhi; | arxiv-cs.CV | 2024-09-21 |
| 133 | CUS3D :CLIP-based Unsupervised 3D Segmentation Via Object-level Denoise Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, unlike previous research that ignores the “noise” raised during feature projection from 2D to 3D, we propose a novel distillation learning framework named CUS3D. |
Fuyang Yu; Runze Tian; Zhen Wang; Xiaochuan Wang; Xiaohui Liang; | arxiv-cs.CV | 2024-09-20 |
| 134 | A Bottom-Up Approach to Class-Agnostic Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we present a novel bottom-up formulation for addressing the class-agnostic segmentation problem. |
Sebastian Dille; Ari Blondal; Sylvain Paris; Yağız Aksoy; | arxiv-cs.CV | 2024-09-20 |
| 135 | HS3-Bench: A Benchmark and Strong Baseline for Hyperspectral Semantic Segmentation in Driving Scenarios Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Even though some datasets exist, there is no standard benchmark available to systematically measure progress on this task and evaluate the benefit of hyperspectral data. In this paper, we work towards closing this gap by providing the HyperSpectral Semantic Segmentation benchmark (HS3-Bench). |
Nick Theisen; Robin Bartsch; Dietrich Paulus; Peer Neubert; | arxiv-cs.CV | 2024-09-17 |
| 136 | Fuse4Seg: Image-Level Fusion Based Multi-Modality Medical Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We argue the current feature-level fusion strategy is prone to semantic inconsistencies and misalignments across various imaging modalities because it merges features at intermediate layers in a neural network without evaluative control. To mitigate this, we introduce a novel image-level fusion based multi-modality medical image segmentation method, Fuse4Seg, which is a bi-level learning framework designed to model the intertwined dependencies between medical image segmentation and medical image fusion. |
Yuchen Guo; Weifeng Su; | arxiv-cs.CV | 2024-09-16 |
| 137 | Semantic2D: A Semantic Dataset for 2D Lidar Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a 2D lidar semantic segmentation dataset to enhance the semantic scene understanding for mobile robots in different indoor robotics applications. |
Zhanteng Xie; Philip Dames; | arxiv-cs.RO | 2024-09-15 |
| 138 | Resolving Inconsistent Semantics in Multi-Dataset Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Existing methods struggle with this setting, particularly when evaluated on label spaces mixed from the individual training sets. To overcome these issues, we introduce a simple yet effective multi-dataset training approach by integrating language-based embeddings of class names and label space-specific query embeddings. |
Qilong Zhangli; Di Liu; Abhishek Aich; Dimitris Metaxas; Samuel Schulter; | arxiv-cs.CV | 2024-09-15 |
| 139 | Multi-Scale Grouped Prototypes for Interpretable Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a method for interpretable semantic segmentation that leverages multi-scale image representation for prototypical part learning. |
Hugo Porta; Emanuele Dalsasso; Diego Marcos; Devis Tuia; | arxiv-cs.CV | 2024-09-14 |
| 140 | AFFSegNet: Adaptive Feature Fusion Segmentation Network for Microtumors and Multi-Organ Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce an augmented multi-layer perceptron within the encoder to explicitly model long-range dependencies during feature extraction. |
FUCHEN ZHENG et. al. | arxiv-cs.CV | 2024-09-12 |
| 141 | UNIT: Unsupervised Online Instance Segmentation Through Time Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To that end, we leverage an instance segmentation backbone and propose a new training recipe that enables the online tracking of objects. |
Corentin Sautier; Gilles Puy; Alexandre Boulch; Renaud Marlet; Vincent Lepetit; | arxiv-cs.CV | 2024-09-12 |
| 142 | LSVOS Challenge Report: Large-scale Complex and Long Video Object Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce the 6th Large-scale Video Object Segmentation (LSVOS) challenge in conjunction with ECCV 2024 workshop. |
HENGHUI DING et. al. | arxiv-cs.CV | 2024-09-09 |
| 143 | Segmentation By Factorization: Unsupervised Semantic Segmentation for Pathology By Factorizing Foundation Model Features Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce Segmentation by Factorization (F-SEG), an unsupervised segmentation method for pathology that generates segmentation masks from pre-trained deep learning models. |
Jacob Gildenblat; Ofir Hadar; | arxiv-cs.CV | 2024-09-09 |
| 144 | Enhanced Generative Data Augmentation for Semantic Segmentation Via Stronger Guidance Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we introduce an effective data augmentation pipeline for semantic segmentation using Controllable Diffusion model. |
Quang-Huy Che; Duc-Tri Le; Bich-Nga Pham; Duc-Khai Lam; Vinh-Tiep Nguyen; | arxiv-cs.CV | 2024-09-09 |
| 145 | SGSeg: Enabling Text-free Inference in Language-guided Segmentation of Chest X-rays Via Self-guidance Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this study, we propose a self-guided segmentation framework (SGSeg) that leverages language guidance for training (multi-modal) while enabling text-free inference (uni-modal), which is the first that enables text-free inference in language-guided segmentation. |
Shuchang Ye; Mingyuan Meng; Mingjian Li; Dagan Feng; Jinman Kim; | arxiv-cs.CV | 2024-09-07 |
| 146 | Boundary Feature Fusion Network for Tooth Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces an innovative tooth segmentation network that integrates boundary information to address the issue of indistinct boundaries between teeth and adjacent tissues. |
Dongping Zhang; Zheng Li; Fangao Zeng; Yutong Wei; | arxiv-cs.CV | 2024-09-05 |
| 147 | ISeg: An Iterative Refinement-based Framework for Training-free Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To fully utilize self-attention map, we present a deep experimental analysis on iteratively refining cross-attention map with self-attention map, and propose an effective iterative refinement framework for training-free segmentation, named iSeg. |
Lin Sun; Jiale Cao; Jin Xie; Fahad Shahbaz Khan; Yanwei Pang; | arxiv-cs.CV | 2024-09-04 |
| 148 | Evaluation Study on SAM 2 for Class-agnostic Instance-level Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Segment Anything Model (SAM) has demonstrated powerful zero-shot segmentation performance in natural scenes. |
Jialun Pei; Zhangjun Zhou; Tiantian Zhang; | arxiv-cs.CV | 2024-09-04 |
| 149 | AllWeatherNet:Unified Image Enhancement for Autonomous Driving Under Adverse Weather and Lowlight-conditions Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Existing methods have limited effectiveness in improving essential computer vision tasks, such as semantic segmentation, and often focus on only one specific condition, such as removing rain or translating nighttime images into daytime ones. To address these limitations, we propose a method to improve the visual quality and clarity degraded by such adverse conditions. |
CHENGHAO QIAN et. al. | arxiv-cs.CV | 2024-09-03 |
| 150 | Segmenting Object Affordances: Reproducibility and Sensitivity to Scale Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, experimental setups are often not reproducible, thus leading to unfair and inconsistent comparisons. In this work, we benchmark these methods under a reproducible setup on two single objects scenarios, tabletop without occlusions and hand-held containers, to facilitate future comparisons. |
Tommaso Apicella; Alessio Xompero; Paolo Gastaldo; Andrea Cavallaro; | arxiv-cs.CV | 2024-09-03 |
| 151 | LSMS: Language-guided Scale-aware MedSegmentor for Medical Image Referring Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In response, we propose an approach named Language-guided Scale-aware MedSegmentor (LSMS), incorporating two appealing designs: (1)~a Scale-aware Vision-Language Attention module that leverages diverse convolutional kernels to acquire rich visual knowledge and interact closely with linguistic features, thereby enhancing lesion localization capability; (2)~a Full-Scale Decoder that globally models multi-modal features across various scales, capturing complementary information between scales to accurately outline lesion boundaries. |
SHUYI OUYANG et. al. | arxiv-cs.CV | 2024-08-30 |
| 152 | Multi-source Domain Adaptation for Panoramic Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: But, the segmentation model lacks understanding of the panoramic structure when only utilizing real pinhole images, and it lacks perception of real-world scenes when only adopting synthetic panoramic images. Therefore, in this paper, we propose a new task of multi-source domain adaptation for panoramic semantic segmentation, aiming to utilize both real pinhole and synthetic panoramic images in the source domains, enabling the segmentation model to perform well on unlabeled real panoramic images in the target domain. |
JING JIANG et. al. | arxiv-cs.CV | 2024-08-29 |
| 153 | DQFormer: Towards Unified LiDAR Panoptic Segmentation with Decoupled Queries Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose decoupling things/stuff queries according to their intrinsic properties for individual decoding and disentangling classification/segmentation to mitigate ambiguity. |
YU YANG et. al. | arxiv-cs.CV | 2024-08-28 |
| 154 | SPNet: Dual-Branch Network with Spatial Supplementary Information for Building and Water Segmentation of Remote Sensing Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation is primarily employed to generate accurate prediction labels for each pixel of the input image, and then classify the images according to the generated … |
WENYU ZHAO et. al. | Remote. Sens. | 2024-08-27 |
| 155 | Handling Geometric Domain Shifts in Semantic Segmentation of Surgical RGB and Hyperspectral Images Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: While model development and validation are primarily conducted on idealistic scenes, geometric domain shifts, such as occlusions of the situs, are common in real-world open surgeries. To close this gap, we (1) present the first analysis of state-of-the-art (SOA) semantic segmentation models when faced with geometric out-of-distribution (OOD) data, and (2) propose an augmentation technique called Organ Transplantation, to enhance generalizability. |
SILVIA SEIDLITZ et. al. | arxiv-cs.CV | 2024-08-27 |
| 156 | MROVSeg: Breaking The Resolution Curse of Vision-Language Models in Open-Vocabulary Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: A typical solution is to employ additional image backbones for high-resolution inputs, but it also introduce significant computation overhead. Therefore, we propose MROVSeg, a multi-resolution training framework for open-vocabulary image segmentation with a single pretrained CLIP backbone, that uses sliding windows to slice the high-resolution input into uniform patches, each matching the input size of the well-trained image encoder. |
YUANBING ZHU et. al. | arxiv-cs.CV | 2024-08-27 |
| 157 | ICFRNet: Image Complexity Prior Guided Feature Refinement for Real-time Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we leverage image complexity as a prior for refining segmentation features to achieve accurate real-time semantic segmentation. |
Xin Zhang; Teodor Boyadzhiev; Jinglei Shi; Jufeng Yang; | arxiv-cs.CV | 2024-08-25 |
| 158 | FusionSAM: Latent Space Driven Segment Anything Model for Multimodal Fusion and Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce SAM into multimodal image segmentation for the first time, proposing a novel framework that combines Latent Space Token Generation (LSTG) and Fusion Mask Prompting (FMP) modules to enhance SAM’s multimodal fusion and segmentation capabilities. |
DAIXUN LI et. al. | arxiv-cs.CV | 2024-08-25 |
| 159 | Accuracy Improvement of Cell Image Segmentation Using Feedback Former Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This tendency leads to a lack of detailed information for segmentation. Therefore, to supplement or reinforce the missing detailed information, we hypothesized that feedback processing in the human visual cortex should be effective. |
Hinako Mitsuoka; Kazuhiro Hotta; | arxiv-cs.CV | 2024-08-23 |
| 160 | Image Segmentation in Foundation Model Era: A Survey Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We investigate two basic lines of research — generic image segmentation (i.e., semantic segmentation, instance segmentation, panoptic segmentation), and promptable image segmentation (i.e., interactive segmentation, referring segmentation, few-shot segmentation) — by delineating their respective task settings, background concepts, and key challenges. |
TIANFEI ZHOU et. al. | arxiv-cs.CV | 2024-08-23 |
| 161 | The 2nd Solution for LSVOS Challenge RVOS Track: Spatial-temporal Refinement for Consistent Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: During testing, while these models can effectively process information over short time steps, they struggle to maintain consistent perception over prolonged time sequences, leading to inconsistencies in the resulting semantic segmentation masks. To address this challenge, we take a step further in this work by leveraging the tracking capabilities of the newly introduced Segment Anything Model version 2 (SAM-v2) to enhance the temporal consistency of the referring object segmentation model. |
Tuyen Tran; | arxiv-cs.CV | 2024-08-22 |
| 162 | Rethinking Video Segmentation with Masked Video Consistency: Did The Model Learn As Intended? Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This leads to inconsistent segmentation results across frames. To address these issues, we propose a training strategy Masked Video Consistency, which enhances spatial and temporal feature aggregation. |
Chen Liang; Qiang Guo; Xiaochao Qu; Luoqi Liu; Ting Liu; | arxiv-cs.CV | 2024-08-20 |
| 163 | Exploring Scene Affinity for Semi-Supervised LiDAR Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper explores scene affinity (AIScene), namely intra-scene consistency and inter-scene correlation, for semi-supervised LiDAR semantic segmentation in driving scenes. |
CHUANDONG LIU et. al. | arxiv-cs.CV | 2024-08-20 |
| 164 | 3D-Aware Instance Segmentation and Tracking in Egocentric Videos Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Egocentric videos present unique challenges for 3D scene understanding due to rapid camera motion, frequent object occlusions, and limited object visibility. This paper introduces a novel approach to instance segmentation and tracking in first-person video that leverages 3D awareness to overcome these obstacles. |
YASH BHALGAT et. al. | arxiv-cs.CV | 2024-08-19 |
| 165 | OVOSE: Open-Vocabulary Semantic Segmentation in Event-Based Cameras Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we introduce OVOSE, the first Open-Vocabulary Semantic Segmentation algorithm for Event cameras. |
Muhammad Rameez Ur Rahman; Jhony H. Giraldo; Indro Spinelli; Stéphane Lathuilière; Fabio Galasso; | arxiv-cs.CV | 2024-08-18 |
| 166 | Depth-guided Texture Diffusion for Image Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we introduce a Depth-guided Texture Diffusion approach that effectively tackles the outlined challenge. |
Wei Sun; Yuan Li; Qixiang Ye; Jianbin Jiao; Yanzhao Zhou; | arxiv-cs.CV | 2024-08-17 |
| 167 | Tuning A SAM-Based Model with Multi-Cognitive Visual Adapter to Remote Sensing Instance Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, a Multi-Cognitive SAM-Based Instance Segmentation Model (MC-SAM SEG) is introduced to employ SAM on remote sensing domain. |
Linghao Zheng; Xinyang Pu; Feng Xu; | arxiv-cs.CV | 2024-08-16 |
| 168 | SAM2-UNet: Segment Anything 2 Makes Strong Encoder for Natural and Medical Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a simple but effective framework, termed SAM2-UNet, for versatile image segmentation. |
XINYU XIONG et. al. | arxiv-cs.CV | 2024-08-16 |
| 169 | MetaSeg: MetaFormer-based Global Contexts-aware Network for Efficient Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a powerful semantic segmentation network, MetaSeg, which leverages the Metaformer architecture from the backbone to the decoder. |
Beoungwoo Kang; Seunghun Moon; Yubin Cho; Hyunwoo Yu; Suk-Ju Kang; | arxiv-cs.CV | 2024-08-14 |
| 170 | Enhancing Autonomous Vehicle Perception in Adverse Weather Through Image Augmentation During Semantic Segmentation Training Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We trained encoder-decoder UNet models to perform semantic segmentation. |
Ethan Kou; Noah Curran; | arxiv-cs.CV | 2024-08-13 |
| 171 | MacFormer: Semantic Segmentation with Fine Object Boundaries Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: While Vision Transformer-based models have made significant progress, current semantic segmentation methods often struggle with precise predictions in localized areas like object boundaries. To tackle this challenge, we introduce a new semantic segmentation architecture, “MacFormer”, which features two key components. |
GUOAN XU et. al. | arxiv-cs.CV | 2024-08-11 |
| 172 | TOSS: Real-time Tracking and Moving Object Segmentation for Static Scene Mapping Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose an integrated real-time framework that combines online tracking-based moving object segmentation with static map building. |
SEOYEON JANG et. al. | arxiv-cs.RO | 2024-08-10 |
| 173 | Embodied Uncertainty-Aware Object Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To deal with uncertainty in robot perception, we propose a method for generating a hypothesis distribution of object segmentation. |
Xiaolin Fang; Leslie Pack Kaelbling; Tomás Lozano-Pérez; | arxiv-cs.RO | 2024-08-08 |
| 174 | SegXAL: Explainable Active Learning for Semantic Segmentation in Driving Scene Scenarios Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, there are certain challenges that hinder the deployment of AI models in-the-wild scenarios, i.e., inefficient use of unlabeled data, lack of incorporation of human expertise, and lack of interpretation of the results. To mitigate these challenges, we propose a novel Explainable Active Learning (XAL) model, XAL-based semantic segmentation model SegXAL, that can (i) effectively utilize the unlabeled data, (ii) facilitate the Human-in-the-loop paradigm, and (iii) augment the model decisions in an interpretable way. |
Sriram Mandalika; Athira Nambiar; | arxiv-cs.CV | 2024-08-08 |
| 175 | Biomedical SAM 2: Segment Anything in Biomedical Images and Videos Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To explore the performance of SAM-2 in biomedical applications, we designed three evaluation pipelines for single-frame 2D image segmentation, multi-frame 3D image segmentation and multi-frame video segmentation with varied prompt designs, revealing SAM-2’s limitations in medical contexts. |
ZHILING YAN et. al. | arxiv-cs.CV | 2024-08-06 |
| 176 | Query3D: LLM-Powered Open-Vocabulary Scene Segmentation with Language Embedded 3D Gaussian Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces a novel method for open-vocabulary 3D scene querying in autonomous driving by combining Language Embedded 3D Gaussians with Large Language Models (LLMs). |
Amirhosein Chahe; Lifeng Zhou; | arxiv-cs.CV | 2024-08-06 |
| 177 | Segmentation Style Discovery: Application to Skin Lesion Images Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we introduce the problem of segmentation style discovery, and propose StyleSeg, a segmentation method that learns plausible, diverse, and semantically consistent segmentation styles from a corpus of image-mask pairs without any knowledge of annotator correspondence. |
Kumar Abhishek; Jeremy Kawahara; Ghassan Hamarneh; | arxiv-cs.CV | 2024-08-05 |
| 178 | Pixel-Level Domain Adaptation: A New Perspective for Enhancing Weakly Supervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we argue that the distribution discrepancy between the discriminative and the non-discriminative parts of objects prevents the model from producing complete and precise pseudo masks as ground truths. |
Ye Du; Zehua Fu; Qingjie Liu; | arxiv-cs.CV | 2024-08-04 |
| 179 | Bridging LiDAR Gaps: A Multi-LiDARs Domain Adaptation Dataset for 3D Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We focus on the domain adaptation problem for 3D semantic segmentation, addressing the challenge of data variability in point clouds collected by different LiDARs. |
SHAOYANG CHEN et. al. | ijcai | 2024-08-03 |
| 180 | PPTFormer: Pseudo Multi-Perspective Transformer for UAV Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Traditional segmentation algorithms falter as they cannot accurately mimic the complexity of UAV perspectives, and the cost of obtaining multi-perspective labeled datasets is prohibitive. To address these issues, we introduce the PPTFormer, a novel Pseudo Multi-Perspective Transformer network that revolutionizes UAV image segmentation. |
Deyi Ji; Wenwei Jin; Hongtao Lu; Feng Zhao; | ijcai | 2024-08-03 |
| 181 | MISA: MIning Saliency-Aware Semantic Prior for Box Supervised Instance Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To boost the BSIS model’s perceptual ability for object shape and contour, we introduce MISA, that is, MIning Saliency-Aware semantic prior from a well-optimized box supervised semantic segmentation (BSSS) network, and incorporating cross-model guidance into the learning process of BSIS. |
HAO ZHU et. al. | ijcai | 2024-08-03 |
| 182 | Aggregation and Purification: Dual Enhancement Network for Point Cloud Few-shot Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we design a novel Dual Enhancement Network (DENet) to comprehensively tackle different kinds of scene discrepancies in a coherent and synergistic framework. |
GUOXIN XIONG et. al. | ijcai | 2024-08-03 |
| 183 | A Robotics-Inspired Scanpath Model Reveals The Importance of Uncertainty and Semantic Object Cues for Gaze Guidance in Dynamic Scenes Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Still, object segmentation and gaze behavior are typically treated as two independent processes. Drawing on an information processing pattern from robotics, we present a mechanistic model that simulates these processes for dynamic real-world scenes. |
Vito Mengers; Nicolas Roth; Oliver Brock; Klaus Obermayer; Martin Rolfs; | arxiv-cs.CV | 2024-08-02 |
| 184 | Efficient Dual-Stream Fusion Network for Real-Time Railway Scene Understanding Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Railway scene understanding is key to autonomous train operation and important in active train perception. However, most railway scene understanding methods focus on track … |
ZHIWEI CAO et. al. | IEEE Transactions on Intelligent Transportation Systems | 2024-08-01 |
| 185 | Medical SAM 2: Segment Medical Images As Video Via Segment Anything Model 2 IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we introduce Medical SAM 2 (MedSAM-2), a generalized auto-tracking model for universal 2D and 3D medical image segmentation. |
Jiayuan Zhu; Abdullah Hamdi; Yunli Qi; Yueming Jin; Junde Wu; | arxiv-cs.CV | 2024-08-01 |
| 186 | Point-supervised Brain Tumor Segmentation with Box-prompted MedSAM Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Although recent vision foundational models, such as the medical segment anything model (MedSAM), have made significant advancements in bounding-box-prompted segmentation, it is not straightforward to utilize point annotation, and is prone to semantic ambiguity. In this preliminary study, we introduce an iterative framework to facilitate semantic-aware point-supervised MedSAM. |
Xiaofeng Liu; Jonghye Woo; Chao Ma; Jinsong Ouyang; Georges El Fakhri; | arxiv-cs.CV | 2024-08-01 |
| 187 | MaskUno: Switch-Split Block For Enhancing Instance Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In all the proposed variations to date, the problem of competing kernels (each class aims to maximize its own accuracy) persists when models try to synchronously learn numerous classes. In this paper, we propose mitigating this problem by replacing mask prediction with a Switch-Split block that processes refined ROIs, classifies them, and assigns them to specialized mask predictors. |
Jawad Haidar; Marc Mouawad; Imad Elhajj; Daniel Asmar; | arxiv-cs.CV | 2024-07-31 |
| 188 | 3D-GRES: Generalized 3D Referring Expression Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, current approaches are limited to segmenting a single target, restricting the versatility of the task. To overcome this limitation, we introduce Generalized 3D Referring Expression Segmentation (3D-GRES), which extends the capability to segment any number of instances based on natural language instructions. |
CHANGLI WU et. al. | arxiv-cs.CV | 2024-07-30 |
| 189 | Leveraging Adaptive Implicit Representation Mapping for Ultra High-Resolution Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Secondly, SIRMF is shared across all samples, which limits its ability to generalize and handle diverse inputs. To address these limitations, we propose a novel approach that leverages the newly proposed Adaptive Implicit Representation Mapping (AIRM) for ultra-high-resolution Image Segmentation. |
Ziyu Zhao; Xiaoguang Li; Pingping Cai; Canyu Zhang; Song Wang; | arxiv-cs.CV | 2024-07-30 |
| 190 | Fine-grained Metrics for Point Cloud Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Because of this, the majority of categories and large objects are favored in the existing evaluation metrics. This paper suggests fine-grained mIoU and mAcc for a more thorough assessment of point cloud segmentation algorithms in order to address these issues. |
Zhuheng Lu; Ting Wu; Yuewei Dai; Weiqing Li; Zhiyong Su; | arxiv-cs.CV | 2024-07-30 |
| 191 | ASI-Seg: Audio-Driven Surgical Instrument Segmentation with Surgeon Intention Understanding Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: The recent Segment Anything Model (SAM) reveals the capability to segment objects following prompts, but the manual annotations for prompts are impractical during the surgery. To address these limitations in operating rooms, we propose an audio-driven surgical instrument segmentation framework, named ASI-Seg, to accurately segment the required surgical instruments by parsing the audio commands of surgeons. |
ZHEN CHEN et. al. | arxiv-cs.CV | 2024-07-28 |
| 192 | RefMask3D: Language-Guided Transformer for 3D Referring Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose RefMask3D to explore the comprehensive multi-modal feature interaction and understanding. |
Shuting He; Henghui Ding; | arxiv-cs.CV | 2024-07-25 |
| 193 | SMPISD-MTPNet: Scene Semantic Prior-Assisted Infrared Ship Detection Using Multi-Task Perception Networks Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: For the training process, we introduce the Soft Fine-tuning training strategy to suppress the distortion caused by data augmentation. |
CHEN HU et. al. | arxiv-cs.CV | 2024-07-25 |
| 194 | Navigating Uncertainty in Medical Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We address the selection and evaluation of uncertain segmentation methods in medical imaging and present two case studies: prostate segmentation, illustrating that for minimal annotator variation simple deterministic models can suffice, and lung lesion segmentation, highlighting the limitations of the Generalized Energy Distance (GED) in model selection. |
Kilian Zepf; Jes Frellsen; Aasa Feragen; | arxiv-cs.CV | 2024-07-23 |
| 195 | Deformable Convolution Based Road Scene Semantic Segmentation of Fisheye Images in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This study investigates the effectiveness of modern Deformable Convolutional Neural Networks (DCNNs) for semantic segmentation tasks, particularly in autonomous driving scenarios with fisheye images. |
ANAM MANZOOR et. al. | arxiv-cs.CV | 2024-07-23 |
| 196 | Augmented Efficiency: Reducing Memory Footprint and Accelerating Inference for 3D Semantic Segmentation Through Hybrid Vision Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces a novel approach to 3D semantic segmentation, distinguished by incorporating a hybrid blend of 2D and 3D computer vision techniques, enabling a streamlined, efficient process. |
Aditya Krishnan; Jayneel Vora; Prasant Mohapatra; | arxiv-cs.CV | 2024-07-22 |
| 197 | Disentangling Spatio-temporal Knowledge for Weakly Supervised Object Detection and Segmentation in Surgical Video Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper introduces Video Spatio-Temporal Disentanglement Networks (VDST-Net), a framework to disentangle spatiotemporal information using semi-decoupled knowledge distillation to predict high-quality class activation maps (CAMs). |
Guiqiu Liao; Matjaz Jogan; Sai Koushik; Eric Eaton; Daniel A. Hashimoto; | arxiv-cs.CV | 2024-07-22 |
| 198 | GaussianBeV: 3D Gaussian Representation Meets Perception Models for BeV Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose GaussianBeV, a novel method for transforming image features to BeV by finely representing the scene using a set of 3D gaussians located and oriented in 3D space. |
Florian Chabot; Nicolas Granger; Guillaume Lapouge; | arxiv-cs.CV | 2024-07-19 |
| 199 | Panoptic Segmentation of Mammograms with Text-To-Image Diffusion Model Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We aim to harness their capabilities for breast lesion segmentation in a panoptic setting, which encompasses both semantic and instance-level predictions. |
Kun Zhao; Jakub Prokop; Javier Montalt Tordera; Sadegh Mohammadi; | arxiv-cs.CV | 2024-07-19 |
| 200 | ViLLa: Video Reasoning Segmentation with Large Language Model Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To bridge the gap between image and video, in this work, we propose a new video segmentation task – video reasoning segmentation. |
RONGKUN ZHENG et. al. | arxiv-cs.CV | 2024-07-18 |
| 201 | MeshSegmenter: Zero-Shot Mesh Semantic Segmentation Via Texture Synthesis Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present MeshSegmenter, a simple yet effective framework designed for zero-shot 3D semantic segmentation. |
ZIMING ZHONG et. al. | arxiv-cs.CV | 2024-07-18 |
| 202 | Denoising Diffusions in Latent Space for Medical Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a novel conditional generative modeling framework (LDSeg) that performs diffusion in latent space for medical image segmentation. |
FAHIM AHMED ZAMAN et. al. | arxiv-cs.CV | 2024-07-17 |
| 203 | OE-BevSeg: An Object Informed and Environment Aware Multimodal Framework for Bird’s-eye-view Vehicle Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, there are still two issues: 1) a lack of effective understanding and enhancement of BEV space features, particularly in accurately capturing long-distance environmental features and 2) recognizing fine details of target objects. To address these issues, we propose OE-BevSeg, an end-to-end multimodal framework that enhances BEV segmentation performance through global environment-aware perception and local target object enhancement. |
JIAN SUN et. al. | arxiv-cs.CV | 2024-07-17 |
| 204 | VISA: Reasoning Video Object Segmentation Via Large Language Models Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we introduce a new task, Reasoning Video Object Segmentation (ReasonVOS). |
CILIN YAN et. al. | arxiv-cs.CV | 2024-07-15 |
| 205 | RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To effectively embed high-dimensional RAPiD features, we propose a double-nested autoencoder structure with a novel class-aware embedding objective to encode high-dimensional features into manageable voxel-wise embeddings. |
Li Li; Hubert P. H. Shum; Toby P. Breckon; | arxiv-cs.CV | 2024-07-14 |
| 206 | FANet: Feature Amplification Network for Semantic Segmentation in Cluttered Background Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Existing deep learning approaches leave out the semantic cues that are crucial in semantic segmentation present in complex scenarios including cluttered backgrounds and translucent objects, etc. To handle these challenges, we propose a feature amplification network (FANet) as a backbone network that incorporates semantic information using a novel feature enhancement module at multi-stages. |
Muhammad Ali; Mamoona Javaid; Mubashir Noman; Mustansar Fiaz; Salman Khan; | arxiv-cs.CV | 2024-07-12 |
| 207 | Enriching Information and Preserving Semantic Consistency in Expanding Curvilinear Object Segmentation Datasets Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Curvilinear object segmentation plays a crucial role across various applications, yet datasets in this domain often suffer from small scale due to the high costs associated with data acquisition and annotation. To address these challenges, this paper introduces a novel approach for expanding curvilinear object segmentation datasets, focusing on enhancing the informativeness of generated data and the consistency between semantic maps and generated images. |
Qin Lei; Jiang Zhong; Qizhu Dai; | arxiv-cs.CV | 2024-07-11 |
| 208 | CycleSAM: One-Shot Surgical Scene Segmentation Using Cycle-Consistent Feature Matching to Prompt SAM Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose CycleSAM, an approach for one-shot surgical scene segmentation that uses the training image-mask pair at test-time to automatically identify points in the test images that correspond to each object class, which can then be used to prompt SAM to produce object masks. |
Aditya Murali; Pietro Mascagni; Didier Mutter; Nicolas Padoy; | arxiv-cs.CV | 2024-07-09 |
| 209 | LuSNAR:A Lunar Segmentation, Navigation and Reconstruction Dataset Based on Muti-sensor for Autonomous Exploration Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Most of the existing lunar datasets are targeted at a single task, lacking diverse scenes and high-precision ground truth labels. To address this issue, we propose a multi-task, multi-scene, and multi-label lunar benchmark dataset LuSNAR. |
JIAYI LIU et. al. | arxiv-cs.CV | 2024-07-08 |
| 210 | Submodular Video Object Proposal Selection for Semantic Object Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes to achieve semantic video object segmentation by learning a data-driven representation which captures the synergy of multiple instances from continuous frames. |
Tinghuai Wang; | arxiv-cs.CV | 2024-07-08 |
| 211 | Object-Oriented Material Classification and 3D Clustering for Improved Semantic Perception and Mapping in Mobile Robots Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To this end, we propose a complementarity-aware deep learning approach for RGB-D-based material classification built on top of an object-oriented pipeline. |
Siva Krishna Ravipati; Ehsan Latif; Ramviyas Parasuraman; Suchendra M. Bhandarkar; | arxiv-cs.RO | 2024-07-08 |
| 212 | RHRSegNet: Relighting High-Resolution Night-Time Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose RHRSegNet, implementing a relighting model over a High-Resolution Network for semantic segmentation. |
Sarah Elmahdy; Rodaina Hebishy; Ali Hamdi; | arxiv-cs.CV | 2024-07-08 |
| 213 | Self-supervised Learning Via Cluster Distance Prediction for Operating Room Context Awareness Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a new 3D self-supervised task for OR scene understanding utilizing OR scene images captured with ToF cameras. |
Idris Hamoud; Alexandros Karargyris; Aidean Sharghi; Omid Mohareri; Nicolas Padoy; | arxiv-cs.CV | 2024-07-07 |
| 214 | LMSeg: A Deep Graph Message-passing Network for Efficient and Accurate Semantic Segmentation of Large-scale 3D Landscape Meshes Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents an end-to-end deep graph message-passing network, LMSeg, designed to efficiently and accurately perform semantic segmentation on large-scale 3D landscape meshes. |
Zexian Huang; Kourosh Khoshelham; Gunditj Mirring Traditional Owners Corporation; Martin Tomko; | arxiv-cs.CV | 2024-07-05 |
| 215 | Attention Normalization Impacts Cardinality Generalization in Slot Attention Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we demonstrate that design decisions on normalizing the aggregated values in the attention architecture have considerable impact on the capabilities of Slot Attention to generalize to a higher number of slots and objects as seen during training. |
Markus Krimmel; Jan Achterhold; Joerg Stueckler; | arxiv-cs.CV | 2024-07-04 |
| 216 | ISWSST: Index-space-wave State Superposition Transformers for Multispectral Remotely Sensed Imagery Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Currently the semantic segmentation task of multispectral remotely sensed imagery (MSRSI) faces the following problems: 1) Usually, only single domain feature (i.e., space domain … |
Chang Li; Pengfei Zhang; Yu Wang; | arxiv-cs.CV | 2024-07-03 |
| 217 | Multi-Grained Contrast for Data-Efficient Unsupervised Representation Learning Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we aim to learn multi-grained representations, which can effectively describe the image on various granularity levels, thus improving generalization on extensive downstream tasks. |
Chengchao Shen; Jianzhong Chen; Jianxin Wang; | arxiv-cs.CV | 2024-07-02 |
| 218 | MTMamba: Enhancing Multi-Task Dense Scene Understanding By Mamba-Based Decoders Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose MTMamba, a novel Mamba-based architecture for multi-task scene understanding. |
BAIJIONG LIN et. al. | arxiv-cs.CV | 2024-07-02 |
| 219 | Fast and Efficient: Mask Neural Fields for 3D Scene Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper presents MaskField, which enables efficient 3D open-vocabulary segmentation with neural fields from a novel perspective. |
ZIHAN GAO et. al. | arxiv-cs.CV | 2024-07-01 |
| 220 | Multiple Resolutions Detail Enhancement Network for Real-Time Image Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Real-time image semantic segmentation (ISS) draws the attentions of more and more researchers as a basis of scene understanding, and it has been applied in many fields that need … |
JING GU et. al. | IEEE Transactions on Artificial Intelligence | 2024-07-01 |
| 221 | Joint Optimization of Crack Segmentation With An Adaptive Dynamic Threshold Module Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Crack segmentation is a critical component in structural health monitoring. Conventional crack segmentation models usually focus on optimizing the cross-entropy-based objective … |
Qin Lei; Jiang Zhong; Chen Wang; | IEEE Transactions on Intelligent Transportation Systems | 2024-07-01 |
| 222 | Multi-Level Object-Aware Guidance Network for Biomedical Image Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Most state-of-the-art models for biomedical image segmentation are developed based on U-shape architecture, which has two renowned, yet mutually affected, shortcomings: 1) … |
Huisi Wu; Baiming Zhang; Junquan Pan; Jing Qin; | IEEE Transactions on Automation Science and Engineering | 2024-07-01 |
| 223 | PanopticRecon: Leverage Open-vocabulary Instance Segmentation for Zero-shot Panoptic Reconstruction Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel zero-shot panoptic reconstruction method from RGB-D images of scenes. |
XUAN YU et. al. | arxiv-cs.CV | 2024-07-01 |
| 224 | Segment Anything Model for Automated Image Data Annotation: Empirical Studies Using Text Prompts from Grounding DINO Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To this end, we perform empirical studies on six publicly available datasets across different domains and reveal that these errors consistently follow a predictable pattern and can, thus, be mitigated by a simple strategy. |
Fuseini Mumuni; Alhassan Mumuni; | arxiv-cs.CV | 2024-06-27 |
| 225 | SimTxtSeg: Weakly-Supervised Medical Image Segmentation with Simple Text Cues Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present a novel framework, SimTxtSeg, that leverages simple text cues to generate high-quality pseudo-labels and study the cross-modal fusion in training segmentation models, simultaneously. |
Yuxin Xie; Tao Zhou; Yi Zhou; Geng Chen; | arxiv-cs.CV | 2024-06-27 |
| 226 | Artwork Segmentation in Eye-Tracking Experiments: Challenges and Future Directions Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Eye-tracking technology has gained prominence in cultural heritage studies, facilitating behavioral analysis and visitor engagement assessments. This paper explores the challenges … |
Alessio Ferrato; Carla Limongelli; M. Mezzini; Giuseppe Sansonetti; A. Micarelli; | Adjunct Proceedings of the 32nd ACM Conference on User … | 2024-06-27 |
| 227 | Principal Component Clustering for Semantic Segmentation in Synthetic Data Generation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This technical report outlines our method for generating a synthetic dataset for semantic segmentation using a latent diffusion model. |
Felix Stillger; Frederik Hasecke; Tobias Meisen; | arxiv-cs.CV | 2024-06-25 |
| 228 | LOGCAN++: Adaptive Local-global Class-aware Network for Semantic Segmentation of Remote Sensing Imagery Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose our LOGCAN++, a semantic segmentation model customized for remote sensing images, which is made up of a Global Class Awareness (GCA) module and several Local Class Awareness (LCA) modules. |
XIAOWEN MA et. al. | arxiv-cs.CV | 2024-06-24 |
| 229 | SegNet4D: Effective and Efficient 4D LiDAR Semantic Segmentation in Autonomous Driving Environments Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: 4D LiDAR semantic segmentation, also referred to as multi-scan semantic segmentation, plays a crucial role in enhancing the environmental understanding capabilities of autonomous … |
NENG WANG et. al. | ArXiv | 2024-06-24 |
| 230 | SegNet4D: Efficient Instance-Aware 4D Semantic Segmentation for LiDAR Point Cloud Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we introduce SegNet4D, a novel real-time 4D semantic segmentation network offering both efficiency and strong semantic understanding. |
NENG WANG et. al. | arxiv-cs.CV | 2024-06-23 |
| 231 | Bidirectional Feature Fusion and Enhanced Alignment Based Multimodal Semantic Segmentation for Remote Sensing Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image–text multimodal deep semantic segmentation leverages the fusion and alignment of image and text information and provides more prior knowledge for segmentation tasks. It is … |
Qianqian Liu; Xili Wang; | Remote. Sens. | 2024-06-22 |
| 232 | Seg-LSTM: Performance of XLSTM for Semantic Segmentation of Remotely Sensed Images Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Our study found that Vision-LSTM’s performance in semantic segmentation was limited and generally inferior to Vision-Transformers-based and Vision-Mamba-based models in most comparative tests. |
Qinfeng Zhu; Yuanzhi Cai; Lei Fan; | arxiv-cs.CV | 2024-06-20 |
| 233 | Reparameterizable Dual-Resolution Network for Real-time Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Although existing real-time semantic segmentation models achieve a commendable balance between accuracy and speed, their multi-path blocks still affect overall speed. To address this issue, this study proposes a Reparameterizable Dual-Resolution Network (RDRNet) dedicated to real-time semantic segmentation. |
Guoyu Yang; Yuan Wang; Daming Shi; | arxiv-cs.CV | 2024-06-18 |
| 234 | Point-Supervised Semantic Segmentation of Natural Scenes Via Hyperspectral Imaging Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Natural scene semantic segmentation is an important task in computer vision. While training accurate models for semantic segmentation relies heavily on detailed and accurate … |
Tianqi Ren; Qiu Shen; Ying Fu; Shaodi You; | 2024 IEEE/CVF Conference on Computer Vision and Pattern … | 2024-06-17 |
| 235 | OoDIS: Anomaly Instance Segmentation Benchmark Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Development in this area has been lagging, largely due to the lack of dedicated benchmarks. To address this gap, we have extended the most commonly used anomaly segmentation benchmarks to include the instance segmentation task. |
ALEXEY NEKRASOV et. al. | arxiv-cs.CV | 2024-06-17 |
| 236 | GSAM+Cutie: Text-Promptable Tool Mask Annotation for Endoscopic Video Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Machine learning approaches for multi-view geometric scene understanding in endoscopic surgery often assume temporal consistency across the frames to limit challenges that … |
ROGER D. SOBERANIS-MUKUL et. al. | 2024 IEEE/CVF Conference on Computer Vision and Pattern … | 2024-06-17 |
| 237 | PyramidMamba: Rethinking Pyramid Feature Fusion with Selective Space State Model for Semantic Segmentation of Remote Sensing Imagery Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, the actual multi-scale feature fusion often comes with the semantic redundancy issue due to homogeneous semantic contents in pyramid features. To handle this issue, we propose a novel Mamba-based segmentation network, namely PyramidMamba. |
LIBO WANG et. al. | arxiv-cs.CV | 2024-06-16 |
| 238 | Bias-Compensation Augmentation Learning for Semantic Segmentation in UAV Networks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In the realm of emergency disaster relief, it is paramount to attain a thorough comprehension of the semantic information associated with the local disaster scene for strategic … |
TIANKUO YU et. al. | IEEE Internet of Things Journal | 2024-06-15 |
| 239 | Segment Every Out-of-Distribution Object Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper introduces a method to convert anomaly Score To segmentation Mask called S2M a simple and effective framework for OoD detection in semantic segmentation. |
Wenjie Zhao; Jia Li; Xin Dong; Yu Xiang; Yunhui Guo; | cvpr | 2024-06-13 |
| 240 | Unlocking The Potential of Pre-trained Vision Transformers for Few-Shot Semantic Segmentation Through Relationship Descriptors Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: The recent advent of pre-trained vision transformers has unveiled a promising property: their inherent capability to group semantically related visual concepts. In this paper we explore to harnesses this emergent feature to tackle few-shot semantic segmentation a task focused on classifying pixels in a test image with a few example data. |
Ziqin Zhou; Hai-Ming Xu; Yangyang Shu; Lingqiao Liu; | cvpr | 2024-06-13 |
| 241 | SAI3D: Segment Any Instance in 3D Scenes IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we introduce SAI3D a novel zero-shot 3D instance segmentation approach that synergistically leverages geometric priors and semantic cues derived from Segment Anything Model (SAM). |
YINGDA YIN et. al. | cvpr | 2024-06-13 |
| 242 | LiSA: LiDAR Localization with Semantic Awareness Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: For example dynamic objects and repeating structures often negatively impact SCR. To address this problem we introduce LiSA the first method that incorporates semantic awareness into SCR to boost the localization robustness and accuracy. |
BOCHUN YANG et. al. | cvpr | 2024-06-13 |
| 243 | SatSynth: Augmenting Image-Mask Pairs Through Diffusion Models for Aerial Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work we explore the potential of generative image diffusion to address the scarcity of annotated data in earth observation tasks. |
Aysim Toker; Marvin Eisenberger; Daniel Cremers; Laura Leal-Taixé; | cvpr | 2024-06-13 |
| 244 | MRFS: Mutually Reinforcing Image Fusion and Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper proposes a coupled learning framework to break the performance bottleneck of infrared-visible image fusion and segmentation called MRFS. |
Hao Zhang; Xuhui Zuo; Jie Jiang; Chunchao Guo; Jiayi Ma; | cvpr | 2024-06-13 |
| 245 | Lift3D: Zero-Shot Lifting of Any 2D Vision Model to 3D Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we ask the question of whether any 2D vision model can be lifted to make 3D consistent predictions. |
MUKUND VARMA T et. al. | cvpr | 2024-06-13 |
| 246 | ToNNO: Tomographic Reconstruction of A Neural Network’s Output for Weakly Supervised Segmentation of 3D Medical Images Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a novel approach ToNNO which is based on the Tomographic reconstruction of a Neural Network’s Output. |
Marius Schmidt-Mengin; Alexis Benichoux; Shibeshih Belachew; Nikos Komodakis; Nikos Paragios; | cvpr | 2024-06-13 |
| 247 | OpenESS: Event-based Semantic Scene Understanding with Open Vocabularies Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work for the first time we synergize information from image text and event-data domains and introduce OpenESS to enable scalable ESS in an open-world annotation-efficient manner. |
Lingdong Kong; Youquan Liu; Lai Xing Ng; Benoit R. Cottereau; Wei Tsang Ooi; | cvpr | 2024-06-13 |
| 248 | Image-Text Co-Decomposition for Text-Supervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We notice that there is a discrepancy between text alignment and semantic segmentation: A text often consists of multiple semantic concepts whereas semantic segmentation strives to create semantically homogeneous segments. To address this issue we propose a novel framework Image-Text Co-Decomposition (CoDe) where the paired image and text are jointly decomposed into a set of image regions and a set of word segments respectively and contrastive learning is developed to enforce region-word alignment. |
JI-JIA WU et. al. | cvpr | 2024-06-13 |
| 249 | Density-Guided Semi-Supervised 3D Semantic Segmentation with Dual-Space Hardness Sampling Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However existing point-to-point contrastive learning techniques in literature are generally sensitive to outliers resulting in insufficient modeling of the point-wise representations. To address this problem we propose a method named DDSemi for semi-supervised 3D semantic segmentation where a density-guided contrastive learning technique is explored. |
Jianan Li; Qiulei Dong; | cvpr | 2024-06-13 |
| 250 | Unsupervised Universal Image Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose an Unsupervised Universal Segmentation model (U2Seg) adept at performing various image segmentation tasks—instance semantic and panoptic—using a novel unified framework. |
DANTONG NIU et. al. | cvpr | 2024-06-13 |
| 251 | GSNeRF: Generalizable Semantic Neural Radiance Fields with Enhanced 3D Scene Understanding Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work we introduce a Generalizable Semantic Neural Radiance Field (GSNeRF) which uniquely takes image semantics into the synthesis process so that both novel view images and the associated semantic maps can be produced for unseen scenes. |
Zi-Ting Chou; Sheng-Yu Huang; I-Jieh Liu; Yu-Chiang Frank Wang; | cvpr | 2024-06-13 |
| 252 | Building A Strong Pre-Training Baseline for Universal 3D Large-Scale Perception Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Such inconsiderate consistency greatly hampers the promising path of reaching an universal pre-training framework: (1) The cross-scene semantic self-conflict \textit i.e. the intense collision between primitive segments of the same semantics from different scenes; (2) Lacking a globally unified bond that pushes the cross-scene semantic consistency into 3D representation learning. To address above challenges we propose a CSC framework that puts a scene-level semantic consistency in the heart bridging the connection of the similar semantic segments across various scenes. |
HAOMING CHEN et. al. | cvpr | 2024-06-13 |
| 253 | USE: Universal Segment Embeddings for Open-Vocabulary Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The main challenge in open-vocabulary image segmentation now lies in accurately classifying these segments into text-defined categories. In this paper we introduce the Universal Segment Embedding (USE) framework to address this challenge. |
XIAOQI WANG et. al. | cvpr | 2024-06-13 |
| 254 | Exploring Regional Clues in CLIP for Zero-Shot Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper to solve the mentioned challenge we analyze the gap between the capability of the CLIP model and the requirement of the zero-shot semantic segmentation task. |
Yi Zhang; Meng-Hao Guo; Miao Wang; Shi-Min Hu; | cvpr | 2024-06-13 |
| 255 | APSeg: Auto-Prompt Network for Cross-Domain Few-Shot Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To this end we propose to leverage the cutting-edge foundation model the Segment Anything Model (SAM) for generalization enhancement. |
WEIZHAO HE et. al. | cvpr | 2024-06-13 |
| 256 | Flattening The Parent Bias: Hierarchical Semantic Segmentation in The Poincare Ball Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We find that on the new testing domains a flat (non-hierarchical) segmentation network in which the parents are inferred from the children has superior segmentation accuracy to the hierarchical approach across the board. Complementing these findings and inspired by the intrinsic properties of hyperbolic spaces we study a more principled approach to hierarchical segmentation using the Poincare ball model. |
Simon Weber; Bar?? Zöngür; Nikita Araslanov; Daniel Cremers; | cvpr | 2024-06-13 |
| 257 | GP-NeRF: Generalized Perception NeRF for Context-Aware 3D Scene Understanding Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However by rendering semantic/instance labels per pixel without considering the contextual information of the rendered image these methods usually suffer from unclear boundary segmentation and abnormal segmentation of pixels within an object. To solve this problem we propose Generalized Perception NeRF (GP-NeRF) a novel pipeline that makes the widely used segmentation model and NeRF work compatibly under a unified framework for facilitating context-aware 3D scene perception. |
HAO LI et. al. | cvpr | 2024-06-13 |
| 258 | PanoOcc: Unified Occupancy Representation for Camera-based 3D Panoptic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This divide-and-conquer strategy simplifies the algorithm development process but comes at the cost of losing an end-to-end unified solution to the problem. In this work we address this limitation by studying camera-based 3D panoptic segmentation aiming to achieve a unified occupancy representation for camera-only 3D scene understanding. |
Yuqi Wang; Yuntao Chen; Xingyu Liao; Lue Fan; Zhaoxiang Zhang; | cvpr | 2024-06-13 |
| 259 | Open-World Semantic Segmentation Including Class Similarity Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a novel approach that performs accurate closed-world semantic segmentation and at the same time can identify new categories without requiring any additional training data. |
Matteo Sodano; Federico Magistri; Lucas Nunes; Jens Behley; Cyrill Stachniss; | cvpr | 2024-06-13 |
| 260 | CAT-Seg: Cost Aggregation for Open-Vocabulary Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work we introduce a novel cost-based approach to adapt vision-language foundation models notably CLIP for the intricate task of semantic segmentation. |
SEOKJU CHO et. al. | cvpr | 2024-06-13 |
| 261 | Benchmarking Segmentation Models with Mask-Preserved Attribute Editing Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Different from the previous evaluation paradigms only in consideration of global attribute variations (e.g. adverse weather) we investigate both local and global attribute variations for robustness evaluation. To achieve this we construct a mask-preserved attribute editing pipeline to edit visual attributes of real images with precise control of structural information. |
Zijin Yin; Kongming Liang; Bing Li; Zhanyu Ma; Jun Guo; | cvpr | 2024-06-13 |
| 262 | SANeRF-HQ: Segment Anything for NeRF in High Quality Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we introduce the Segment Anything for NeRF in High Quality (SANeRF-HQ) to achieve high-quality 3D segmentation of any target object in a given scene. |
Yichen Liu; Benran Hu; Chi-Keung Tang; Yu-Wing Tai; | cvpr | 2024-06-13 |
| 263 | Hierarchical Intra-modal Correlation Learning for Label-free 3D Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However these methods usually suffer from inconsistent and noisy pseudo-labels provided by the vision language models. To address this issue we present a hierarchical intra-modal correlation learning framework that captures visual and geometric correlations in 3D scenes at three levels: intra-set intra-scene and inter-scene to help learn more compact 3D representations. |
Xin Kang; Lei Chu; Jiahao Li; Xuejin Chen; Yan Lu; | cvpr | 2024-06-13 |
| 264 | PEM: Prototype-based Efficient MaskFormer for Image Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To achieve such impressive performance these architectures employ intensive operations and require substantial computational resources which are often not available especially on edge devices. To fill this gap we propose Prototype-based Efficient MaskFormer (PEM) an efficient transformer-based architecture that can operate in multiple segmentation tasks. |
NICCOLÒ CAVAGNERO et. al. | cvpr | 2024-06-13 |
| 265 | Style Blind Domain Generalized Semantic Segmentation Via Covariance Alignment and Semantic Consistence Contrastive Learning Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However these approaches struggle with the entanglement of style and content which may lead to the unintentional removal of crucial content information causing performance degradation. This study addresses this limitation by proposing BlindNet a novel DGSS approach that blinds the style without external modules or datasets. |
Woo-Jin Ahn; Geun-Yeong Yang; Hyun-Duck Choi; Myo-Taeg Lim; | cvpr | 2024-06-13 |
| 266 | SED: A Simple Encoder-Decoder for Open-Vocabulary Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper we propose a simple encoder-decoder named SED for open-vocabulary semantic segmentation which comprises a hierarchical encoder-based cost map generation and a gradual fusion decoder with category early rejection. |
Bin Xie; Jiale Cao; Jin Xie; Fahad Shahbaz Khan; Yanwei Pang; | cvpr | 2024-06-13 |
| 267 | MRFP: Learning Generalizable Semantic Segmentation from Sim-2-Real with Multi-Resolution Feature Perturbation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However the large domain-specific inconsistencies between simulated and real-world data pose a significant generalization challenge in semantic segmentation. In this work to alleviate this problem we propose a novel Multi-Resolution Feature Perturbation (MRFP) technique to randomize domain-specific fine-grained features and perturb style of coarse features. |
Sumanth Udupa; Prajwal Gurunath; Aniruddh Sikdar; Suresh Sundaram; | cvpr | 2024-06-13 |
| 268 | EAGLE: Eigen Aggregation Learning for Object-Centric Unsupervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This technical limitation often leads to inadequate segmentation of complex objects with diverse structures. To address this gap we present a novel approach EAGLE which emphasizes object-centric representation learning for unsupervised semantic segmentation. |
Chanyoung Kim; Woojung Han; Dayun Ju; Seong Jae Hwang; | cvpr | 2024-06-13 |
| 269 | Curriculum Point Prompting for Weakly-Supervised Referring Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Nevertheless we observe that simply integrating SAM yields limited benefits and can even lead to performance regression due to the inevitable noise issues and challenges in excessive focus on object parts. In this paper we present an innovative framework Point PrompTing (PPT) incorporated with the proposed multi-source curriculum learning strategy to address these challenges. |
Qiyuan Dai; Sibei Yang; | cvpr | 2024-06-13 |
| 270 | Unsupervised Semantic Segmentation Through Depth-Guided Feature Correlation and Sampling Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To achieve this semantic knowledge is distilled by learning to correlate randomly sampled features from images across an entire dataset. In this work we build upon these advances by incorporating information about the structure of the scene into the training process through the use of depth information. |
Leon Sick; Dominik Engel; Pedro Hermosilla; Timo Ropinski; | cvpr | 2024-06-13 |
| 271 | Traffic Scene Parsing Through The TSP6K Dataset Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However little effort has been put into improving the traffic monitoring scene understanding mainly due to the lack of specific datasets. To fill this gap we introduce a specialized traffic monitoring dataset termed TSP6K containing images from the traffic monitoring scenario with high-quality pixel-level and instance-level annotations. |
PENG-TAO JIANG et. al. | cvpr | 2024-06-13 |
| 272 | Scribble-Supervised Semantic Segmentation with Prototype-based Feature Augmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, existing methods often ignore the features of classified pixels during feature propagation. To address these limitations, this paper proposes a prototype-based feature augmentation method that leverages feature prototypes to augment scribble supervision. |
Guiyang Chan; Pengcheng Zhang; Hai Dong; Shunhui Ji; Bainian Chen; | icml | 2024-06-12 |
| 273 | SimSAM: Simple Siamese Representations Based Semantic Affinity Matrix for Unsupervised Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Inspired by the non-contrastive SSL approach (SimSiam), we introduce a novel framework SIMSAM to compute the Semantic Affinity Matrix, which is significant for unsupervised image segmentation. |
Chanda Grover Kamra; Indra Deep Mastan; Nitin Kumar; Debayan Gupta; | arxiv-cs.CV | 2024-06-12 |
| 274 | BLO-SAM: Bi-level Optimization Based Finetuning of The Segment Anything Model for Overfitting-Preventing Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Current solutions to these problems, which involve finetuning SAM, often lead to overfitting, a notable issue in scenarios with very limited data, like in medical imaging. To overcome these limitations, we introduce BLO-SAM, which finetunes SAM based on bi-level optimization (BLO). |
Li Zhang; Youwei Liang; Ruiyi Zhang; Amirhosein Javadi; Pengtao Xie; | icml | 2024-06-12 |
| 275 | PanoSSC: Exploring Monocular Panoptic 3D Scene Reconstruction for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To this end, we investigate panoptic segmentation on 3D voxel scenarios and propose an instance-aware occupancy network, PanoSSC. |
YINING SHI et. al. | arxiv-cs.CV | 2024-06-11 |
| 276 | Beyond Bare Queries: Open-Vocabulary Object Grounding with 3D Scene Graph Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Existing CLIP-based open-vocabulary methods successfully perform 3D object grounding with simple (bare) queries, but cannot cope with ambiguous descriptions that demand an understanding of object relations. To tackle this problem, we propose a modular approach called BBQ (Beyond Bare Queries), which constructs 3D scene graph representation with metric and semantic edges and utilizes a large language model as a human-to-agent interface through our deductive scene reasoning algorithm. |
SERGEY LINOK et. al. | arxiv-cs.CV | 2024-06-11 |
| 277 | U-Net Ensemble for Enhanced Semantic Segmentation in Remote Sensing Imagery Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation of remote sensing imagery stands as a fundamental task within the domains of both remote sensing and computer vision. Its objective is to generate a … |
I. Dimitrovski; Vlatko Spasev; S. Loskovska; Ivan Kitanovski; | Remote. Sens. | 2024-06-08 |
| 278 | 1st Place Winner of The 2024 Pixel-level Video Understanding in The Wild (CVPR’24 PVUW) Challenge in Video Panoptic Segmentation and Best Long Video Consistency of Video Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper details our research work that achieved the 1st place winner in the PVUW’24 VPS challenge, establishing state of art results in all metrics, including the Video Panoptic Quality (VPQ) and Segmentation and Tracking Quality (STQ). |
Qingfeng Liu; Mostafa El-Khamy; Kee-Bong Song; | arxiv-cs.CV | 2024-06-08 |
| 279 | USE: Universal Segment Embeddings for Open-Vocabulary Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The main challenge in open-vocabulary image segmentation now lies in accurately classifying these segments into text-defined categories. In this paper, we introduce the Universal Segment Embedding (USE) framework to address this challenge. |
XIAOQI WANG et. al. | arxiv-cs.CV | 2024-06-07 |
| 280 | 1st Place Solution for MOSE Track in CVPR 2024 PVUW Workshop: Complex Video Object Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The motivation behind the MOSE dataset is how to clearly recognize and distinguish objects in complex scenes. In this challenge, we propose a semantic embedding video object segmentation model and use the salient features of objects as query representations. |
Deshui Miao; Xin Li; Zhenyu He; Yaowei Wang; Ming-Hsuan Yang; | arxiv-cs.CV | 2024-06-06 |
| 281 | Frequency-based Matcher for Long-tailed Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Although the long-tailed phenomenon has been investigated in many fields, e.g., classification and object detection, it has not received enough attention in semantic segmentation and has become a non-negligible obstacle to applying semantic segmentation technology in autonomous driving and virtual reality. Therefore, in this work, we focus on a relatively under-explored task setting, long-tailed semantic segmentation (LTSS). |
Shan Li; Lu Yang; Pu Cao; Liulei Li; Huadong Ma; | arxiv-cs.CV | 2024-06-06 |
| 282 | Learning Semantic Traversability with Egocentric Video and Automated Annotation Strategy Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we present an effective methodology for training a semantic traversability estimator using egocentric videos and an automated annotation process. |
YUNHO KIM et. al. | arxiv-cs.RO | 2024-06-05 |
| 283 | Radar Spectra-Language Model for Automotive Scene Parsing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we aim to explore the semantic information contained in spectra in the context of automated driving, thereby moving towards better interpretability of radar spectra. |
Mariia Pushkareva; Yuri Feldman; Csaba Domokos; Kilian Rambach; Dotan Di Castro; | arxiv-cs.CV | 2024-06-04 |
| 284 | DiffCut: Catalyzing Zero-Shot Semantic Segmentation with Diffusion Features and Recursive Normalized Cut Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we use a diffusion UNet encoder as a foundation vision encoder and introduce DiffCut, an unsupervised zero-shot segmentation method that solely harnesses the output features from the final self-attention block. |
Paul Couairon; Mustafa Shukor; Jean-Emmanuel Haugeard; Matthieu Cord; Nicolas Thome; | arxiv-cs.CV | 2024-06-04 |
| 285 | EAGLE: Efficient Adaptive Geometry-based Learning in Cross-view Understanding Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: At present, there are limited studies analyzing cross-view learning. To address this problem, we introduce a novel Unsupervised Cross-view Adaptation Learning approach to modeling the geometric structural change across views in Semantic Scene Understanding. |
THANH-DAT TRUONG et. al. | arxiv-cs.CV | 2024-06-03 |
| 286 | Diffusion Features to Bridge Domain Gap for Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: By leveraging the strength of text-to-image generation capability, we introduce a new training framework designed to implicitly learn posterior knowledge from it. |
YUXIANG JI et. al. | arxiv-cs.CV | 2024-06-02 |
| 287 | 2nd Place Solution for PVUW Challenge 2024: Video Panoptic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In order to deal with the task of video panoptic segmentation in the wild, we propose a robust integrated video panoptic segmentation solution. |
BIAO WU et. al. | arxiv-cs.CV | 2024-06-01 |
| 288 | Semi-supervised Video Semantic Segmentation Using Unreliable Pseudo Labels for PVUW2024 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we adopt semi-supervised video semantic segmentation method based on unreliable pseudo labels. |
BIAO WU et. al. | arxiv-cs.CV | 2024-06-01 |
| 289 | Token-word Mixer Meets Object-aware Transformer for Referring Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View |
Zhenliang Zhang; Zhu Teng; Jack Fan; Baopeng Zhang; Jianping Fan; | Pattern Recognit. | 2024-06-01 |
| 290 | Attention-Based Multi-Kernelized and Boundary-Aware Network for Image Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View |
Xuanchen Zhou; Gengshen Wu; Xin Sun; Pengpeng Hu; Yi Liu; | Neurocomputing | 2024-06-01 |
| 291 | MCDS-VSS: Moving Camera Dynamic Scene Video Semantic Segmentation By Filtering with Self-Supervised Geometry and Motion Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose MCDS-VSS, a structured filter model that learns in a self-supervised manner to estimate scene geometry and ego-motion of the camera, while also estimating the motion of external objects. |
Angel Villar-Corrales; Moritz Austermann; Sven Behnke; | arxiv-cs.CV | 2024-05-30 |
| 292 | DenseSeg: Joint Learning for Semantic Segmentation and Landmark Detection Using Dense Image-to-Shape Representation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Methods: In this work, we propose a dense image-to-shape representation that enables the joint learning of landmarks and semantic segmentation by employing a fully convolutional architecture. |
RON KEUTH et. al. | arxiv-cs.CV | 2024-05-30 |
| 293 | SemFlow: Binding Semantic Segmentation and Image Synthesis Via Rectified Flow Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: For image synthesis, we propose a finite perturbation approach to enhance the diversity of generated results without changing the semantic categories. |
CHAOYANG WANG et. al. | arxiv-cs.CV | 2024-05-30 |
| 294 | View-Consistent Hierarchical 3D Segmentation Using Ultrametric Feature Fields Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we address the challenging task of lifting multi-granular and view-inconsistent image segmentations into a hierarchical and 3D-consistent representation. |
Haodi He; Colton Stearns; Adam W. Harley; Leonidas J. Guibas; | arxiv-cs.CV | 2024-05-30 |
| 295 | Reasoning3D — Grounding and Reasoning in 3D: Fine-Grained Zero-Shot Open-Vocabulary 3D Reasoning Part Segmentation Via Large Vision-Language Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce a new task: Zero-Shot 3D Reasoning Segmentation for parts searching and localization for objects, which is a new paradigm to 3D segmentation that transcends limitations for previous category-specific 3D semantic segmentation, 3D instance segmentation, and open-vocabulary 3D segmentation. |
TIANRUN CHEN et. al. | arxiv-cs.CV | 2024-05-29 |
| 296 | Reasoning3D – Grounding and Reasoning in 3D: Fine-Grained Zero-Shot Open-Vocabulary 3D Reasoning Part Segmentation Via Large Vision-Language Models Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper, we introduce a new task: Zero-Shot 3D Reasoning Segmentation for parts searching and localization for objects, which is a new paradigm to 3D segmentation that … |
TIANRUN CHEN et. al. | ArXiv | 2024-05-29 |
| 297 | CRIS: Collaborative Refinement Integrated with Segmentation for Polyp Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, we propose an approach that integrates mask refinement and binary semantic segmentation, leveraging a novel collaborative training strategy that surpasses current widely-used refinement strategies. |
Ankush Gajanan Arudkar; Bernard J. E. Evans; | arxiv-cs.CV | 2024-05-29 |
| 298 | RT-GS2: Real-Time Generalizable Semantic Segmentation for 3D Gaussian Representations of Radiance Fields Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we introduce RT-GS2, the first generalizable semantic segmentation method employing Gaussian Splatting. |
Mihnea-Bogdan Jurca; Remco Royen; Ion Giosan; Adrian Munteanu; | arxiv-cs.CV | 2024-05-28 |
| 299 | Zero-Shot Video Semantic Segmentation Based on Pre-Trained Diffusion Models Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce the first zero-shot approach for Video Semantic Segmentation (VSS) based on pre-trained diffusion models. |
QIAN WANG et. al. | arxiv-cs.CV | 2024-05-27 |
| 300 | Competing for Pixels: A Self-play Algorithm for Weakly-supervised Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Leveraging reinforcement learning (RL) self-play, we propose a novel WSS method that gamifies image segmentation of a ROI. |
SHAHEER U. SAEED et. al. | arxiv-cs.CV | 2024-05-26 |
| 301 | Multi-view Remote Sensing Image Segmentation With SAM Priors Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Subsequently, we introduce SAM features via a transformer into the INF of the scene, supplementing the semantic information. |
ZIPENG QI et. al. | arxiv-cs.CV | 2024-05-23 |
| 302 | BiomedParse: A Biomedical Foundation Model for Image Parsing of Everything Everywhere All at Once Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Here, we propose BiomedParse, a biomedical foundation model for imaging parsing that can jointly conduct segmentation, detection, and recognition for 82 object types across 9 imaging modalities. |
THEODORE ZHAO et. al. | arxiv-cs.CV | 2024-05-21 |
| 303 | Research on Efficient Asymmetric Attention Module for Real-Time Semantic Segmentation Networks in Urban Scenes Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Currently, numerous high-precision models have been proposed for semantic segmentation, but the model parameters are large and the segmentation speed is slow. Real-time semantic … |
Xu Su; Lihong Li; Jiejie Xiao; Pengtao Wang; | J. Adv. Comput. Intell. Intell. Informatics | 2024-05-20 |
| 304 | Universal Organizer of SAM for Unsupervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Recently, a robust framework called the segment anything model (SAM) has been proven to deliver precise boundary object masks. Therefore, this paper proposes a universal organizer based on SAM, termed as UO-SAM, to enhance the mask quality of USS models. |
TINGTING LI et. al. | arxiv-cs.MM | 2024-05-19 |
| 305 | Hybrid Shunted Transformer Embedding UNet for Remote Sensing Image Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View |
Huacong Zhou; Xiangling Xiao; Huihui Li; Xiaoyong Liu; Peng Liang; | Neural Comput. Appl. | 2024-05-18 |
| 306 | CM-UNet: Hybrid CNN-Mamba UNet for Remote Sensing Image Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose CM-UNet, comprising a CNN-based encoder for extracting local image features and a Mamba-based decoder for aggregating and integrating global information, facilitating efficient semantic segmentation of remote sensing images. |
MUSHUI LIU et. al. | arxiv-cs.CV | 2024-05-17 |
| 307 | Fourier Boundary Features Network with Wider Catchers for Glass Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We proposed the Fourier Boundary Features Network with Wider Catchers (FBWC), which might be the first attempt to utilize sufficiently wide horizontal shallow branches without vertical deepening for guiding the fine granularity segmentation boundary through primary glass semantic information. |
XIAOLIN QIN et. al. | arxiv-cs.CV | 2024-05-15 |
| 308 | CLIP with Quality Captions: A Strong Pretraining for Vision Tasks Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we find that simply improving the quality of captions in image-text datasets improves the quality of CLIP’s visual representations, resulting in significant improvement on downstream dense prediction vision tasks. |
Pavan Kumar Anasosalu Vasu; Hadi Pouransari; Fartash Faghri; Oncel Tuzel; | arxiv-cs.CV | 2024-05-14 |
| 309 | Noisy Few-shot 3D Point Cloud Scene Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: 3D scene semantic segmentation plays a crucial role in robotics by enabling robots to understand and interpret their environment in a detailed and context-aware manner, … |
Hao Huang; Shuaihang Yuan; Congcong Wen; Yu Hao; Yi Fang; | 2024 IEEE International Conference on Robotics and … | 2024-05-13 |
| 310 | Zero Shot Context-Based Object Segmentation Using SLIP (SAM+CLIP) Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present SLIP (SAM+CLIP), an enhanced architecture for zero-shot object segmentation. |
Saaketh Koundinya Gundavarapu; Arushi Arora; Shreya Agarwal; | arxiv-cs.CV | 2024-05-12 |
| 311 | Global Motion Understanding in Large-Scale Video Object Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we show that transferring knowledge from other domains of video understanding combined with large-scale learning can improve robustness of Video Object Segmentation (VOS) under complex circumstances. |
Volodymyr Fedynyak; Yaroslav Romanus; Oles Dobosevych; Igor Babin; Roman Riazantsev; | arxiv-cs.CV | 2024-05-11 |
| 312 | Weakly-supervised Semantic Segmentation Via Dual-stream Contrastive Learning of Cross-image Contextual Information Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Weakly supervised semantic segmentation (WSSS) aims at learning a semantic segmentation model with only image-level tags. |
Qi Lai; Chi-Man Vong; | arxiv-cs.CV | 2024-05-08 |
| 313 | Few-Shot Fruit Segmentation Via Transfer Learning Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we develop a few-shot semantic segmentation framework for infield fruits using transfer learning. |
Jordan A. James; Heather K. Manching; Amanda M. Hulse-Kemp; William J. Beksi; | arxiv-cs.CV | 2024-05-04 |
| 314 | TinySeg: Model Optimizing Framework for Image Segmentation on Tiny Embedded Systems Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This work proposes TinySeg, a new model optimizing framework that enables memory-efficient image segmentation for tiny embedded systems. |
Byungchul Chae; Jiae Kim; Seonyeong Heo; | arxiv-cs.NE | 2024-05-03 |
| 315 | CromSS: Cross-modal Pre-training with Noisy Labels for Remote Sensing Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Specifically, we propose a novel Cross-modal Sample Selection method (CromSS) that utilizes the class distributions P^{(d)}(x,c) over pixels x and classes c modelled by multiple sensors/modalities d of a given geospatial scene. |
Chenying Liu; Conrad Albrecht; Yi Wang; Xiao Xiang Zhu; | arxiv-cs.CV | 2024-05-02 |
| 316 | Explainable AI (XAI) in Image Segmentation in Medicine, Industry, and Beyond: A Survey Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present the first comprehensive survey on XAI in semantic image segmentation. |
Rokas Gipiškis; Chun-Wei Tsai; Olga Kurasova; | arxiv-cs.CV | 2024-05-02 |
| 317 | Dual-Path Feature Aware Network for Remote Sensing Image Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation is a significant task for remote sensing interpretation, which takes advantage of contextual semantic information to classify each pixel into a specific … |
Jie Geng; Shuai Song; Wen Jiang; | IEEE Transactions on Circuits and Systems for Video … | 2024-05-01 |
| 318 | Recognizing Pawing Behavior of Prepartum Doe Using Semantic Segmentation and Motion History Image (MHI) Features Related Papers Related Patents Related Grants Related Venues Related Experts View |
ZIKANG CHEN et. al. | Expert Syst. Appl. | 2024-05-01 |
| 319 | An Energy-Efficient, Unified CNN Accelerator for Real-Time Multi-Object Semantic Segmentation for Autonomous Vehicle Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: An energy-efficient, unified convolutional neural network (CNN) accelerator is proposed with a lightweight RGB-D network to achieve real-time, multi-object semantic segmentation … |
Jueun Jung; Seung-Ju Kim; Wuyoung Jang; Bokyoung Seo; K. Lee; | IEEE Transactions on Circuits and Systems I: Regular Papers | 2024-05-01 |
| 320 | Break The Bias: Delving Semantic Transform Invariance for Few-Shot Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Few-shot semantic segmentation (FSS) aims to segment objects of unseen classes in query images with only a few annotated support images. Existing FSS algorithms typically focus on … |
Qinglong Cao; Yuntian Chen; Chao Ma; Xiaokang Yang; | IEEE Transactions on Circuits and Systems for Video … | 2024-05-01 |
| 321 | Remote Sensing Image Semantic Segmentation Via Class-guided Structural Interaction and Boundary Perception Related Papers Related Patents Related Grants Related Venues Related Experts View |
Xin He; Yong Zhou; Bing Liu; Jiaqi Zhao; Rui Yao; | Expert Syst. Appl. | 2024-05-01 |
| 322 | CLFT: Camera-LiDAR Fusion Transformer for Semantic Segmentation in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Specifically, the vision transformer is the novel ground-breaker that successfully brought the multi-head-attention mechanism to computer vision applications. Therefore, we propose a vision-transformer-based network to carry out camera-LiDAR fusion for semantic segmentation applied to autonomous driving. |
Junyi Gu; Mauro Bellone; Tomáš Pivoňka; Raivo Sell; | arxiv-cs.CV | 2024-04-27 |
| 323 | Semantic Segmentation Refiner for Ultrasound Applications with Zero-Shot Foundation Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we address the performance degradation of segmentation models in low-data regimes and propose a prompt-less segmentation method harnessing the ability of segmentation foundation models to segment abstract shapes. |
HEDDA COHEN INDELMAN et. al. | arxiv-cs.CV | 2024-04-25 |
| 324 | Boosting Unsupervised Semantic Segmentation with Principal Mask Proposals Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present PriMaPs – Principal Mask Proposals – decomposing images into semantically meaningful masks based on their feature representation. |
Oliver Hahn; Nikita Araslanov; Simone Schaub-Meyer; Stefan Roth; | arxiv-cs.CV | 2024-04-25 |
| 325 | Semantic Segmentation of Remote Sensing Images Based on Dual-channel Attention Mechanism Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Due to the inadequate utilization of data correlation and complementarity in the feature extraction process of multimodal remote sensing images, the paper proposes a deep learning … |
Jionghui Jiang; Xi’an Feng; Hui Huang; | IET Image Process. | 2024-04-25 |
| 326 | Survey on Segmentation of Brain Abnormalities in MRI Scan Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: -Medical image segmentation plays an important role in disease monitoring, such as tumor growth, dosage control of medication, and radiation exposure in the human body. Image … |
Idrees Ibraheem Ahmed; Omar M. Hussien Al Okashi; | 2024 21st International Multi-Conference on Systems, … | 2024-04-22 |
| 327 | OccFeat: Self-supervised Occupancy Feature Prediction for Pretraining BEV Segmentation Networks Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce a self-supervised pretraining method, called OccFeat, for camera-only Bird’s-Eye-View (BEV) segmentation networks. |
SOPHIA SIRKO-GALOUCHENKO et. al. | arxiv-cs.CV | 2024-04-22 |
| 328 | Clio: Real-time Task-Driven Open-Set 3D Scene Graphs Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: While related work implicitly chooses a level of granularity by tuning thresholds for object detection, we argue that such a choice is intrinsically task-dependent. The first contribution of this paper is to propose a task-driven 3D scene understanding problem, where the robot is given a list of tasks in natural language and has to select the granularity and the subset of objects and scene structure to retain in its map that is sufficient to complete the tasks. |
DOMINIC MAGGIO et. al. | arxiv-cs.RO | 2024-04-21 |
| 329 | Show and Grasp: Few-shot Semantic Segmentation for Robot Grasping Through Zero-shot Foundation Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, this often comes at the cost of limited performance and fine-tuning is required to be effective in robot grasping scenarios. In this work, we propose to overcome all these limitations by combining the impressive generalization capability reached by foundation models with a high-performing few-shot classifier, working as a score function to select the segmentation that is closer to the support set. |
Leonardo Barcellona; Alberto Bacchin; Matteo Terreran; Emanuele Menegatti; Stefano Ghidoni; | arxiv-cs.RO | 2024-04-19 |
| 330 | Weakly Supervised LiDAR Semantic Segmentation Via Scatter Image Annotation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Specifically, we propose employing scatter images to annotate LiDAR point clouds, combining a pre-trained optical flow estimation network with a foundation image segmentation model to rapidly propagate manual annotations into dense labels for both images and point clouds. |
YILONG CHEN et. al. | arxiv-cs.CV | 2024-04-19 |
| 331 | BACS: Background Aware Continual Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper proposes a Backward Background Shift Detector (BACS) to detect previously observed classes based on their distance in the latent space from the foreground centroids of previous steps. |
Mostafa ElAraby; Ali Harakeh; Liam Paull; | arxiv-cs.CV | 2024-04-19 |
| 332 | Contrastive Gaussian Clustering: Weakly Supervised 3D Scene Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce Contrastive Gaussian Clustering, a novel approach capable of provide segmentation masks from any viewpoint and of enabling 3D segmentation of the scene. |
Myrna C. Silva; Mahtab Dahaghin; Matteo Toso; Alessio Del Bue; | arxiv-cs.CV | 2024-04-19 |
| 333 | Neuromorphic Vision-based Motion Segmentation with Graph Transformer Neural Network Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a novel event-based motion segmentation algorithm using a Graph Transformer Neural Network, dubbed GTNN. |
Yusra Alkendi; Rana Azzam; Sajid Javed; Lakmal Seneviratne; Yahya Zweiri; | arxiv-cs.CV | 2024-04-16 |
| 334 | Vocabulary-free Image Classification and Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This assumption is impractical in scenarios with unknown or evolving semantic context. Here, we address this issue and introduce the Vocabulary-free Image Classification (VIC) task, which aims to assign a class from an unconstrained language-induced semantic space to an input image without needing a known vocabulary. |
ALESSANDRO CONTI et. al. | arxiv-cs.CV | 2024-04-16 |
| 335 | ECLAIR: A High-Fidelity Aerial LiDAR Dataset for Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce ECLAIR (Extended Classification of Lidar for AI Recognition), a new outdoor large-scale aerial LiDAR dataset designed specifically for advancing research in point cloud semantic segmentation. |
Iaroslav Melekhov; Anand Umashankar; Hyeong-Jin Kim; Vladislav Serkov; Dusty Argyle; | arxiv-cs.CV | 2024-04-16 |
| 336 | Conformal Semantic Image Segmentation: Post-hoc Quantification of Predictive Uncertainty Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We propose a post-hoc, computationally lightweight method to quantify predictive uncertainty in semantic image segmentation. Our approach uses conformal prediction to generate … |
Luca Mossina; Joseba Dalmau; L’eo And’eol; | 2024 IEEE/CVF Conference on Computer Vision and Pattern … | 2024-04-16 |
| 337 | The Revenge of BiSeNet: Efficient Multi-Task Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, existing research has primarily concentrated on single-task settings, especially on semantic segmentation, leading to redundant efforts and specialized architectures for different tasks. To address this limitation, we propose a novel architecture for efficient multi-task image segmentation, capable of handling various segmentation tasks without sacrificing efficiency or accuracy. |
Gabriele Rosi; Claudia Cuttano; Niccolò Cavagnero; Giuseppe Averta; Fabio Cermelli; | arxiv-cs.CV | 2024-04-15 |
| 338 | Gaga: Group Any Gaussians Via 3D-aware Memory Bank Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce Gaga, a framework that reconstructs and segments open-world 3D scenes by leveraging inconsistent 2D masks predicted by zero-shot segmentation models. |
Weijie Lyu; Xueting Li; Abhijit Kundu; Yi-Hsuan Tsai; Ming-Hsuan Yang; | arxiv-cs.CV | 2024-04-11 |
| 339 | Pay Attention to Your Neighbours: Training-Free Open-Vocabulary Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, existing approaches often rely on impractical supervised pre-training or access to additional pre-trained networks. In this work, we propose a strong baseline for training-free OVSS, termed Neighbour-Aware CLIP (NACLIP), representing a straightforward adaptation of CLIP tailored for this scenario. |
Sina Hajimiri; Ismail Ben Ayed; Jose Dolz; | arxiv-cs.CV | 2024-04-11 |
| 340 | Exploiting Object-based and Segmentation-based Semantic Features for Deep Learning-based Indoor Scene Classification Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To overcome such issues, gathering semantic information has been shown to be a promising source of information towards a more complete and discriminative feature representation of indoor scenes. Therefore, the work described in this paper uses both semantic information, obtained from object detection, and semantic segmentation techniques. |
Ricardo Pereira; Luís Garrote; Tiago Barros; Ana Lopes; Urbano J. Nunes; | arxiv-cs.CV | 2024-04-11 |
| 341 | O2V-Mapping: Online Open-Vocabulary Mapping with Neural Implicit Representation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: For the purpose of preserving consistency in 3D object properties across different viewpoints, we propose a spatial adaptive voxel adjustment mechanism and a multi-view weight selection method. |
MUER TIE et. al. | arxiv-cs.CV | 2024-04-10 |
| 342 | QueSTMaps: Queryable Semantic Topological Maps for 3D Scene Understanding Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, such methods struggle to segment out topological regions like kitchen in the scene. In this work, we introduce a two-step pipeline to solve this problem. |
YASH MEHAN et. al. | arxiv-cs.CV | 2024-04-09 |
| 343 | DaF-BEVSeg: Distortion-aware Fisheye Camera Based Bird’s Eye View Segmentation with Occlusion Reasoning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We extend the model with an occlusion reasoning module, which is critical for estimating in BEV space. |
Senthil Yogamani; David Unger; Venkatraman Narayanan; Varun Ravi Kumar; | arxiv-cs.CV | 2024-04-09 |
| 344 | Evaluating The Efficacy of Cut-and-Paste Data Augmentation in Semantic Segmentation for Satellite Imagery Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In order to mitigate those issues, our study explores the effectiveness of a Cut-and-Paste augmentation technique for semantic segmentation in satellite images. We adapt this augmentation, which usually requires labeled instances, to the case of semantic segmentation. |
Ionut M. Motoi; Leonardo Saraceni; Daniele Nardi; Thomas A. Ciarfuglia; | arxiv-cs.CV | 2024-04-08 |
| 345 | D2SL: Decouple Defogging and Semantic Learning for Foggy Domain-Adaptive Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Despite making some progress, there are still two main drawbacks: (1) the coupling of segmentation and defogging feature representations, resulting in a decrease in semantic representation capability, and (2) the failure to leverage real fog priors in unlabeled foggy data, leading to insufficient model generalization ability. To address these issues, we propose a novel training framework, Decouple Defogging and Semantic learning, called D2SL, aiming to alleviate the adverse impact of defogging tasks on the final segmentation task. |
Xuan Sun; Zhanfu An; Yuyu Liu; | arxiv-cs.CV | 2024-04-07 |
| 346 | HawkDrive: A Transformer-driven Visual Perception System for Autonomous Driving in Night Scene Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Many established vision perception systems for autonomous driving scenarios ignore the influence of light conditions, one of the key elements for driving safety. To address this problem, we present HawkDrive, a novel perception system with hardware and software solutions. |
Ziang Guo; Stepan Perminov; Mikhail Konenkov; Dzmitry Tsetserukou; | arxiv-cs.CV | 2024-04-06 |
| 347 | Panoptic Perception: A Novel Task and Fine-grained Dataset for Universal Remote Sensing Image Interpretation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose Panoptic Perception, a novel task and a new fine-grained dataset (FineGrip) to achieve a more thorough and universal interpretation for RSIs. |
DANPEI ZHAO et. al. | arxiv-cs.CV | 2024-04-06 |
| 348 | Sigma: Siamese Mamba Network for Multi-Modal Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we introduce Sigma, a Siamese Mamba network for multi-modal semantic segmentation, utilizing the Selective Structured State Space Model, Mamba. |
ZIFU WAN et. al. | arxiv-cs.CV | 2024-04-05 |
| 349 | Background Noise Reduction of Attention Map for Weakly Supervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The proposed method successfully reduces background noise, leading to improved accuracy of pseudo labels. |
Izumi Fujimori; Masaki Oono; Masami Shishibori; | arxiv-cs.CV | 2024-04-04 |
| 350 | OpenNeRF: Open Set 3D Neural Scene Segmentation with Pixel-Wise Features and Rendered Novel Views IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Indeed, point cloud and 3D meshes typically have a lower resolution than images and the reconstructed 3D scene geometry might not project well to the underlying 2D image sequences used to compute pixel-aligned CLIP features. To address these challenges, we propose OpenNeRF which naturally operates on posed images and directly encodes the VLM features within the NeRF. |
FRANCIS ENGELMANN et. al. | arxiv-cs.CV | 2024-04-04 |
| 351 | Flattening The Parent Bias: Hierarchical Semantic Segmentation in The Poincaré Ball Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We find that on the new testing domains, a flat (non-hierarchical) segmentation network, in which the parents are inferred from the children, has superior segmentation accuracy to the hierarchical approach across the board. Complementing these findings and inspired by the intrinsic properties of hyperbolic spaces, we study a more principled approach to hierarchical segmentation using the Poincar\’e ball model. |
Simon Weber; Barış Zöngür; Nikita Araslanov; Daniel Cremers; | arxiv-cs.CV | 2024-04-04 |
| 352 | Smooth Fusion of Multi-spectral Images Via Total Variation Minimization for Traffic Scene Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View |
YING LI et. al. | Eng. Appl. Artif. Intell. | 2024-04-01 |
| 353 | Segmentation of Road Negative Obstacles Based on Dual Semantic-Feature Complementary Fusion for Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Segmentation of road negative obstacles (i.e., potholes and cracks) is important to the safety of autonomous driving. Although existing RGB-D fusion networks could achieve … |
Zhen Feng; Yanning Guo; Yuxiang Sun; | IEEE Transactions on Intelligent Vehicles | 2024-04-01 |
| 354 | Training-Free Semantic Segmentation Via LLM-Supervision Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces a new approach to text-supervised semantic segmentation using supervision by a large language model (LLM) that does not require extra training. |
Wenfang Sun; Yingjun Du; Gaowen Liu; Ramana Kompella; Cees G. M. Snoek; | arxiv-cs.CV | 2024-03-31 |
| 355 | MedCLIP-SAM: Bridging Text and Image Towards Universal Medical Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a novel framework, called MedCLIP-SAM that combines CLIP and SAM models to generate segmentation of clinical scans using text prompts in both zero-shot and weakly supervised settings. |
Taha Koleilat; Hojat Asgariandehkordi; Hassan Rivaz; Yiming Xiao; | arxiv-cs.CV | 2024-03-29 |
| 356 | Segmentation Re-thinking Uncertainty Estimation Metrics for Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, our investigation identifies three core deficiencies within the PAvPU framework and proposes robust solutions aimed at refining the metric. By addressing these issues, we aim to enhance the reliability and applicability of uncertainty quantification, especially in scenarios that demand high levels of safety and accuracy, thus contributing to the advancement of semantic segmentation methodologies in critical applications. |
Qitian Ma; Shyam Nanda Rai; Carlo Masone; Tatiana Tommasi; | arxiv-cs.AI | 2024-03-28 |
| 357 | I2CKD : Intra- and Inter-Class Knowledge Distillation for Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes a new knowledge distillation method tailored for image semantic segmentation, termed Intra- and Inter-Class Knowledge Distillation (I2CKD). |
Ayoub Karine; Thibault Napoléon; Maher Jridi; | arxiv-cs.CV | 2024-03-27 |
| 358 | SatSynth: Augmenting Image-Mask Pairs Through Diffusion Models for Aerial Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we explore the potential of generative image diffusion to address the scarcity of annotated data in earth observation tasks. |
Aysim Toker; Marvin Eisenberger; Daniel Cremers; Laura Leal-Taixé; | arxiv-cs.CV | 2024-03-25 |
| 359 | Learning Generalized Segmentation for Foggy-Scenes By Bi-directional Wavelet Guidance Summary Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Abstract: Learning scene semantics that can be well generalized to foggy conditions is important for safety-crucial applications such as autonomous driving. Existing methods need both … |
Qi Bi; Shaodi You; Theo Gevers; | AAAI Conference on Artificial Intelligence | 2024-03-24 |
| 360 | SM2C: Boost The Semi-supervised Segmentation for Medical Image By Using Meta Pseudo Labels and Mixed Images Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To this end, we introduce a novel method called Scaling-up Mix with Multi-Class (SM2C). |
Yifei Wang; Chuhong Zhu; | arxiv-cs.CV | 2024-03-24 |
| 361 | Improved MLP Point Cloud Processing with High-Dimensional Positional Encoding Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Multi-Layer Perceptron (MLP) models are the bedrock of contemporary point cloud processing. However, their complex network architectures obscure the source of their strength. We … |
Yanmei Zou; Hongshan Yu; Zhengeng Yang; Zechuan Li; Naveed Akhtar; | AAAI Conference on Artificial Intelligence | 2024-03-24 |
| 362 | WeatherProof: Leveraging Language Guidance for Semantic Segmentation in Adverse Weather Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a method to infer semantic segmentation maps from images captured under adverse weather conditions. |
BLAKE GELLA et. al. | arxiv-cs.CV | 2024-03-21 |
| 363 | MTP: Advancing Remote Sensing Foundation Model Via Multitask Pretraining IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Foundation models have reshaped the landscape of remote sensing (RS) by enhancing various image interpretation tasks. Pretraining is an active research topic, encompassing … |
DI WANG et. al. | IEEE Journal of Selected Topics in Applied Earth … | 2024-03-20 |
| 364 | MTP: Advancing Remote Sensing Foundation Model Via Multi-Task Pretraining Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, transferring the pretrained models to downstream tasks may encounter task discrepancy due to their formulation of pretraining as image classification or object discrimination tasks. In this study, we explore the Multi-Task Pretraining (MTP) paradigm for RS foundation models to address this issue. |
DI WANG et. al. | arxiv-cs.CV | 2024-03-20 |
| 365 | Reflectivity Is All You Need!: Advancing LiDAR Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Building upon our previous work, this paper explores the advantages of employing calibrated intensity (also referred to as reflectivity) within learning-based LiDAR semantic segmentation frameworks. |
Kasi Viswanath; Peng Jiang; Srikanth Saripalli; | arxiv-cs.CV | 2024-03-19 |
| 366 | TTT-KD: Test-Time Training for 3D Semantic Segmentation Through Knowledge Distillation from Foundation Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose the first TTT method for 3D semantic segmentation, TTT-KD, which models Knowledge Distillation (KD) from foundation models (e.g. DINOv2) as a self-supervised objective for adaptation to distribution shifts at test-time. |
Lisa Weijler; Muhammad Jehanzeb Mirza; Leon Sick; Can Ekkazan; Pedro Hermosilla; | arxiv-cs.CV | 2024-03-18 |
| 367 | BEVCar: Camera-Radar Fusion for BEV Map and Object Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Abstract: Semantic scene segmentation from a bird’s-eye-view (BEV) perspective plays a crucial role in facilitating planning and decision-making for mobile robots. Although recent … |
JONAS SCHRAMM et. al. | ArXiv | 2024-03-18 |
| 368 | Segment Any Object Model (SAOM): Real-to-Simulation Fine-Tuning Strategy for Multi-Class Multi-Instance Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To allow our Segment Any Object Model (SAOM) to work in the everything mode, we propose the novel nearest neighbour assignment method, updating point embeddings for each ground-truth mask. |
MARIIA KHAN et. al. | arxiv-cs.CV | 2024-03-15 |
| 369 | TransLandSeg: A Transfer Learning Approach for Landslide Semantic Segmentation Based on Vision Foundation Model Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose TransLandSeg, which is a transfer learning approach for landslide semantic segmentation based on a vision foundation model (VFM). |
CHANGHONG HOU et. al. | arxiv-cs.CV | 2024-03-15 |
| 370 | Annotation Free Semantic Segmentation with Vision Foundation Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we generate free annotations for any semantic segmentation dataset using existing foundation models. |
Soroush Seifi; Daniel Olmeda Reino; Fabien Despinoy; Rahaf Aljundi; | arxiv-cs.CV | 2024-03-14 |
| 371 | ASPP+-LANet: A Multi-Scale Context Extraction Network for Semantic Segmentation of High-Resolution Remote Sensing Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation of remote sensing (RS) images is a pivotal branch in the realm of RS image processing, which plays a significant role in urban planning, building extraction, … |
Lei Hu; Xun Zhou; Jiachen Ruan; Supeng Li; | Remote. Sens. | 2024-03-14 |
| 372 | When Semantic Segmentation Meets Frequency Aliasing Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Existing research only separates an image into easy and hard regions and empirically observes the latter are associated with object boundaries. In this paper, we conduct a comprehensive analysis of hard pixel errors, categorizing them into three types: false responses, merging mistakes, and displacements. |
Linwei Chen; Lin Gu; Ying Fu; | arxiv-cs.CV | 2024-03-13 |
| 373 | Average Calibration Error: A Differentiable Loss for Improved Reliability in Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose to use marginal L1 average calibration error (mL1-ACE) as a novel auxiliary loss function to improve pixel-wise calibration without compromising segmentation quality. |
Theodore Barfoot; Luis Garcia-Peraza-Herrera; Ben Glocker; Tom Vercauteren; | arxiv-cs.CV | 2024-03-11 |
| 374 | Refining Segmentation On-the-Fly: An Interactive Framework for Point Cloud Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Concretely, we presents the first interactive framework for point cloud semantic segmentation, named InterPCSeg, which seamlessly integrates with off-the-shelf semantic segmentation networks without offline re-training, enabling it to run in an on-the-fly manner. |
Peng Zhang; Ting Wu; Jinsheng Sun; Weiqing Li; Zhiyong Su; | arxiv-cs.CV | 2024-03-10 |
| 375 | Multi-Grained Cross-modal Alignment for Learning Open-vocabulary Semantic Segmentation from Text Supervision Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce a Multi-Grained Cross-modal Alignment (MGCA) framework, which explicitly learns pixel-level alignment along with object- and region-level alignment to bridge the granularity gap without any dense annotations. |
Yajie Liu; Pu Ge; Qingjie Liu; Di Huang; | arxiv-cs.CV | 2024-03-06 |
| 376 | Semi-Supervised Semantic Segmentation Based on Pseudo-Labels: A Survey Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This review aims to provide a first comprehensive and organized overview of the state-of-the-art research results on pseudo-label methods in the field of semi-supervised semantic segmentation, which we categorize from different perspectives and present specific methods for specific application areas. |
Lingyan Ran; Yali Li; Guoqiang Liang; Yanning Zhang; | arxiv-cs.CV | 2024-03-04 |
| 377 | RISeg: Robot Interactive Object Segmentation Via Body Frame-Invariant Features Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In order to successfully perform manipulation tasks in new environments, such as grasping, robots must be proficient in segmenting unseen objects from the background and/or other … |
HOWARD H. QIAN et. al. | 2024 IEEE International Conference on Robotics and … | 2024-03-04 |
| 378 | Auxiliary Tasks Enhanced Dual-affinity Learning for Weakly Supervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Prior works have commonly used an off-line heuristic thresholding process that combines the CAM maps with off-the-shelf saliency maps produced by a general pre-trained saliency model to produce more accurate pseudo-segmentation labels. We propose AuxSegNet+, a weakly supervised auxiliary learning framework to explore the rich information from these saliency maps and the significant inter-task correlation between saliency detection and semantic segmentation. |
LIAN XU et. al. | arxiv-cs.CV | 2024-03-02 |
| 379 | Building Energy Efficient Semantic Segmentation in Intelligent Edge Computing Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation is a critical area in computer vision, which needs voluminous image data streaming from user devices. Usually, it is challenging to process semantic … |
Xingyu Yuan; He Li; K. Ota; M. Dong; | IEEE Transactions on Green Communications and Networking | 2024-03-01 |
| 380 | FGMNet: Feature Grouping Mechanism Network for RGB-D Indoor Scene Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View |
Yuming Zhang; Wujie Zhou; L. Ye; Lu Yu; Ting Luo; | Digit. Signal Process. | 2024-03-01 |
| 381 | Contrastive Learning-based Knowledge Distillation for RGB-thermal Urban Scene Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View |
Xiaodong Guo; Wujie Zhou; Tong Liu; | Knowl. Based Syst. | 2024-03-01 |
| 382 | An Automated Learning Method of Semantic Segmentation for Train Autonomous Driving Environment Understanding Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This article proposes an automated machine learning method for semantic segmentation that can be used for automated training of models in fields such as autonomous driving. This … |
Yang Wang; Jin Zhang; Yihao Chen; Hao Yuan; Cheng Wu; | IEEE Transactions on Industrial Informatics | 2024-02-29 |
| 383 | FusionVision: A Comprehensive Approach of 3D Object Reconstruction and Segmentation from RGB-D Cameras Using YOLO and Fast Segment Anything Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In the realm of computer vision, the integration of advanced techniques into the processing of RGB-D camera inputs poses a significant challenge, given the inherent complexities arising from diverse environmental conditions and varying object appearances. Therefore, this paper introduces FusionVision, an exhaustive pipeline adapted for the robust 3D segmentation of objects in RGB-D imagery. |
Safouane El Ghazouali; Youssef Mhirit; Ali Oukhrid; Umberto Michelucci; Hichem Nouira; | arxiv-cs.CV | 2024-02-29 |
| 384 | PEM: Prototype-based Efficient MaskFormer for Image Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To achieve such impressive performance, these architectures employ intensive operations and require substantial computational resources, which are often not available, especially on edge devices. To fill this gap, we propose Prototype-based Efficient MaskFormer (PEM), an efficient transformer-based architecture that can operate in multiple segmentation tasks. |
NICCOLÒ CAVAGNERO et. al. | arxiv-cs.CV | 2024-02-29 |
| 385 | YOLO-MED : Multi-Task Interaction Network for Biomedical Images Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, we propose an efficient end-to-end multi-task network capable of concurrently performing object detection and semantic segmentation called YOLO-Med. |
SUIZHI HUANG et. al. | arxiv-cs.CV | 2024-02-29 |
| 386 | One Model to Use Them All: Training A Segmentation Model with Complementary Datasets Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose a method to combine multiple partially annotated datasets, which provide complementary annotations, into one model, enabling better scene segmentation and the use of multiple readily available datasets. |
ALEXANDER C. JENKE et. al. | arxiv-cs.CV | 2024-02-29 |
| 387 | Spannotation: Enhancing Semantic Segmentation for Autonomous Navigation with Efficient Image Annotation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Unlike other popular annotation tools that requires about 40 seconds to annotate an image for semantic segmentation in a typical navigation task, Spannotation achieves similar result in about 6.03 seconds. The tools utility was validated through the utilization of its generated masks to train a U-Net model which achieved a validation accuracy of 98.27% and mean Intersection Over Union (mIOU) of 96.66%. |
Samuel O. Folorunsho; William R. Norris; | arxiv-cs.CV | 2024-02-28 |
| 388 | Convolution Meets LoRA: Parameter Efficient Finetuning for Segment Anything Model IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: While it exhibits remarkable zero-shot generalization in typical scenarios, its advantage diminishes when applied to specialized domains like medical imagery and remote sensing. To address this limitation, this paper introduces Conv-LoRA, a simple yet effective parameter-efficient fine-tuning approach. |
Zihan Zhong; Zhiqiang Tang; Tong He; Haoyang Fang; Chun Yuan; | iclr | 2024-02-26 |
| 389 | CLIPSelf: Vision Transformer Distills Itself for Open-Vocabulary Dense Prediction IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we embark on an in-depth analysis of the region-language alignment in CLIP models, which is essential for downstream open-vocabulary dense prediction tasks. |
SIZE WU et. al. | iclr | 2024-02-26 |
| 390 | BLO-SAM: Bi-level Optimization Based Overfitting-Preventing Finetuning of SAM Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Current solutions to these problems, which involve finetuning SAM, often lead to overfitting, a notable issue in scenarios with very limited data, like in medical imaging. To overcome these limitations, we introduce BLO-SAM, which finetunes SAM based on bi-level optimization (BLO). |
Li Zhang; Youwei Liang; Ruiyi Zhang; Amirhosein Javadi; Pengtao Xie; | arxiv-cs.CV | 2024-02-26 |
| 391 | P2Seg: Pointly-supervised Segmentation Via Mutual Distillation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we design a Mutual Distillation Module (MDM) to leverage the complementary strengths of both instance position and semantic information and achieve accurate instance-level object perception. |
ZIPENG WANG et. al. | iclr | 2024-02-26 |
| 392 | EmerDiff: Emerging Pixel-level Semantic Knowledge in Diffusion Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, generating fine-grained segmentation masks with diffusion models often requires additional training on annotated datasets, leaving it unclear to what extent pre-trained diffusion models alone understand the semantic relations of their generated images. To address this question, we leverage the semantic knowledge extracted from Stable Diffusion (SD) and aim to develop an image segmentor capable of generating fine-grained segmentation maps without any additional training. |
Koichi Namekata; Amirmojtaba Sabour; Sanja Fidler; Seung Wook Kim; | iclr | 2024-02-26 |
| 393 | DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present DFormer, a novel RGB-D pretraining framework to learn transferable representations for RGB-D segmentation tasks. |
BOWEN YIN et. al. | iclr | 2024-02-26 |
| 394 | ConSept: Continual Semantic Segmentation Via Adapter-based Vision Transformer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper, we delve into the realm of vision transformers for continual semantic segmentation, a problem that has not been sufficiently explored in previous literature. … |
Bowen Dong; Guanglei Yang; W. Zuo; Lei Zhang; | ArXiv | 2024-02-26 |
| 395 | Placing Objects in Context Via Inpainting for Out-of-distribution Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose the Placing Objects in Context (POC) pipeline to realistically add any object into any image via diffusion models. |
Pau de Jorge; Riccardo Volpi; Puneet K. Dokania; Philip H. S. Torr; Gregory Rogez; | arxiv-cs.CV | 2024-02-26 |
| 396 | OpenNeRF: Open Set 3D Neural Scene Segmentation with Pixel-Wise Features and Rendered Novel Views IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Indeed, point cloud and 3D meshes typically have a lower resolution than images and the reconstructed 3D scene geometry might not project well to the underlying 2D image sequences used to compute pixel-aligned CLIP features. To address these challenges, we propose OpenNeRF which naturally operates on posed images and directly encodes the VLM features within the NeRF. |
Francis Engelmann; Fabian Manhardt; Michael Niemeyer; Keisuke Tateno; Federico Tombari; | iclr | 2024-02-26 |
| 397 | Task Specific Pretraining with Noisy Labels for Remote Sensing Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose to exploit noisy semantic segmentation maps for model pretraining. |
Chenying Liu; Conrad M Albrecht; Yi Wang; Xiao Xiang Zhu; | arxiv-cs.CV | 2024-02-25 |
| 398 | Cross-CBAM: A Lightweight Network for Real-time Scene Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View |
Zhengbin Zhang; Zhenhao Xu; Xingsheng Gu; Juan Xiong; | J. Real Time Image Process. | 2024-02-24 |
| 399 | A New CNN-based Semantic Object Segmentation for Autonomous Vehicles in Urban Traffic Scenes Related Papers Related Patents Related Grants Related Venues Related Experts View |
Gürkan Doğan; B. Ergen; | Int. J. Multim. Inf. Retr. | 2024-02-23 |
| 400 | QIS : Interactive Segmentation Via Quasi-Conformal Mappings Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose the quasi-conformal interactive segmentation (QIS) model, which incorporates user input in the form of positive and negative clicks. |
Han Zhang; Daoping Zhang; Lok Ming Lui; | arxiv-cs.CV | 2024-02-22 |
| 401 | DeiSAM: Segment Anything with Deictic Prompting Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, deep learning approaches cannot reliably interpret such deictic representations due to their lack of reasoning capabilities in complex scenarios. To remedy this issue, we propose DeiSAM — a combination of large pre-trained neural networks with differentiable logic reasoners — for deictic promptable segmentation. |
HIKARU SHINDO et. al. | arxiv-cs.LG | 2024-02-21 |
| 402 | Multi-Modality Affinity Inference for Weakly Supervised 3D Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To this end, this paper proposes a simple yet effective scene-level weakly supervised point cloud segmentation method with a newly introduced multi-modality point affinity inference module. |
XIAWEI LI et. al. | aaai | 2024-02-20 |
| 403 | CGMGM: A Cross-Gaussian Mixture Generative Model for Few-Shot Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Consequently, they result in incomplete segmentation of foreground objects and mis-segmentation of the complex background. To overcome this issue, we propose the Cross Gaussian Mixture Generative Model (CGMGM), a novel Gaussian Mixture Models~(GMMs)-based FSS method, which establishes the joint distribution of pixel and category in both the support and query images. |
JUNAO SHEN et. al. | aaai | 2024-02-20 |
| 404 | W2P: Switching from Weak Supervision to Partial Supervision for Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper underscores the significant influence of noisy pseudo-labels on segmentation network performance, particularly in boundary region. To address above issues, we introduce a novel paradigm: Weak to Partial Supervision (W2P). |
Fangyuan Zhang; Tianxiang Pan; Jun-Hai Yong; Bin Wang; | aaai | 2024-02-20 |
| 405 | X4D-SceneFormer: Enhanced Scene Understanding on 4D Point Cloud Videos Through Cross-Modal Knowledge Transfer Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Moreover, the irregularity of point cloud poses a difficulty in aligning temporal information within video sequences. To address these issues, we propose a novel cross-modal knowledge transfer framework, called X4D-SceneFormer. |
LINGLIN JING et. al. | aaai | 2024-02-20 |
| 406 | Less Is More: Label Recommendation for Weakly Supervised Point Cloud Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, unconstrained or heuristic weakly supervised annotation forms may lead to suboptimal label efficiency. To address this issue, we propose a novel label recommendation framework for weakly supervised point cloud semantic segmentation. |
Zhiyi Pan; Nan Zhang; Wei Gao; Shan Liu; Ge Li; | aaai | 2024-02-20 |
| 407 | Progressive Feature Self-Reinforcement for Weakly Supervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: A typical manifestation is the diminished precision on object boundaries, leading to deteriorated accuracy of WSSS. To alleviate this issue, we propose to adaptively partition the image content into certain regions (e.g., confident foreground and background) and uncertain regions (e.g., object boundaries and misclassified categories) for separate processing. |
JINGXUAN HE et. al. | aaai | 2024-02-20 |
| 408 | Semantic-Aware Autoregressive Image Modeling for Visual Representation Learning Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This is mainly caused by the challenge that images are not sequential signals and lack a natural order when applying autoregressive modeling. In this study, inspired by human beings’ way of grasping an image, i.e., focusing on the main object first, we present a semantic-aware autoregressive image modeling (SemAIM) method to tackle this challenge. |
Kaiyou Song; Shan Zhang; Tong Wang; | aaai | 2024-02-20 |
| 409 | Learning Content-Enhanced Mask Transformer for Domain Generalized Urban-Scene Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a Content-enhanced Mask TransFormer (CMFormer) for domain-generalized USSS. |
Qi Bi; Shaodi You; Theo Gevers; | aaai | 2024-02-20 |
| 410 | Variance-Insensitive and Target-Preserving Mask Refinement for Interactive Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce a novel method, Variance-Insensitive and Target-Preserving Mask Refinement to enhance segmentation quality with fewer user inputs. |
CHAOWEI FANG et. al. | aaai | 2024-02-20 |
| 411 | Weakly Supervised Semantic Segmentation for Driving Scenes Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose solutions for each issue as follows. |
Dongseob Kim; Seungho Lee; Junsuk Choe; Hyunjung Shim; | aaai | 2024-02-20 |
| 412 | ISCUTE: Instance Segmentation of Cables Using Text Embedding Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a foundation model-based DLO instance segmentation technique that is text-promptable and user-friendly. |
Shir Kozlovsky; Omkar Joglekar; Dotan Di Castro; | arxiv-cs.CV | 2024-02-19 |
| 413 | Real-time 3D Semantic Scene Perception for Egocentric Robots with Binocular Vision Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we present an end-to-end pipeline with instance segmentation, feature matching, and point-set registration for egocentric robots with binocular vision, and demonstrate the robot’s grasping capability through the proposed pipeline. |
K. Nguyen; T. Dang; M. Huber; | arxiv-cs.RO | 2024-02-19 |
| 414 | Semantically-aware Neural Radiance Fields for Visual Scene Understanding: A Comprehensive Review Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This review thoroughly examines the role of semantically-aware Neural Radiance Fields (NeRFs) in visual scene understanding, covering an analysis of over 250 scholarly papers. |
Thang-Anh-Quan Nguyen; Amine Bourki; Mátyás Macudzinski; Anthony Brunel; Mohammed Bennamoun; | arxiv-cs.CV | 2024-02-16 |
| 415 | BEFUnet: A Hybrid CNN-Transformer Architecture for Precise Medical Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: While transformers have achieved state-of-the-art results in natural language processing and image recognition, they face challenges in medical image segmentation due to image locality and translational invariance issues. To address these challenges, this paper proposes an innovative U-shaped network called BEFUnet, which enhances the fusion of body and edge information for precise medical image segmentation. |
Omid Nejati Manzari; Javad Mirzapour Kaleybar; Hooman Saadat; Shahin Maleki; | arxiv-cs.CV | 2024-02-13 |
| 416 | Moving Object Proposals with Deep Learned Optical Flow for Video Object Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a state of art architecture of neural networks to accurately and efficiently get the moving object proposals (MOP). |
Ge Shi; Zhili Yang; | arxiv-cs.CV | 2024-02-13 |
| 417 | Hybridnet for Depth Estimation and Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, depth estimation and semantic segmentation are addressed together from a single input image through a hybrid convolutional network. |
Dalila Sánchez-Escobedo; Xiao Lin; Josep R. Casas; Montse Pardàs; | arxiv-cs.CV | 2024-02-09 |
| 418 | Quasi-Dense Matching for Oblique Stereo Images Through Semantic Segmentation and Local Feature Enhancement Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper proposes a quasi-dense feature matching algorithm that combines image semantic segmentation and local feature enhancement networks to address the problem of the poor … |
GUOBIAO YAO et. al. | Remote. Sens. | 2024-02-08 |
| 419 | Early Fusion of Features for Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces a novel segmentation framework that integrates a classifier network with a reverse HRNet architecture for efficient image segmentation. |
Anupam Gupta; Ashok Krishnamurthy; Lisa Singh; | arxiv-cs.CV | 2024-02-08 |
| 420 | Multi-Scale Semantic Segmentation with Modified MBConv Blocks Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper introduces a novel adaptation of MBConv blocks specifically tailored for semantic segmentation. |
Xi Chen; Yang Cai; Yuan Wu; Bo Xiong; Taesung Park; | arxiv-cs.CV | 2024-02-07 |
| 421 | On The Effect of Image Resolution on Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, we demonstrate that a streamlined model capable of directly producing high-resolution segmentations can match the performance of more complex systems that generate lower-resolution results. |
Ritambhara Singh; Abhishek Jain; Pietro Perona; Shivani Agarwal; Junfeng Yang; | arxiv-cs.CV | 2024-02-07 |
| 422 | SGS-SLAM: Semantic Gaussian Splatting For Neural Dense SLAM IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present SGS-SLAM, the first semantic visual SLAM system based on Gaussian Splatting. |
MINGRUI LI et. al. | arxiv-cs.CV | 2024-02-05 |
| 423 | Instance Segmentation XXL-CT Challenge of A Historic Airplane Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The challenge aimed to explore automatic or interactive instance segmentation methods for an efficient delineation of the different aircraft components, such as screws, rivets, metal sheets or pressure tubes. We report the organization and outcome of this challenge and describe the capabilities and limitations of the submitted segmentation methods. |
ROLAND GRUBER et. al. | arxiv-cs.CV | 2024-02-05 |
| 424 | Applying Unsupervised Semantic Segmentation to High-Resolution UAV Imagery for Enhanced Road Scene Parsing Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: There are two challenges presented in parsing road scenes from UAV images: the complexity of processing high-resolution images and the dependency on extensive manual annotations required by traditional supervised deep learning methods to train robust and accurate models. In this paper, a novel unsupervised road parsing framework that leverages advancements in vision language models with fundamental computer vision techniques is introduced to address these critical challenges. |
Zihan Ma; Yongshang Li; Ronggui Ma; Chen Liang; | arxiv-cs.CV | 2024-02-05 |
| 425 | Vision-enhanced Peg-in-Hole for Automotive Body Parts Using Semantic Image Segmentation and Object Detection Related Papers Related Patents Related Grants Related Venues Related Experts View |
M. SILEO et. al. | Eng. Appl. Artif. Intell. | 2024-02-01 |
| 426 | An Adaptive Post-Processing Network With The Global-Local Aggregation for Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Current semantic segmentation methods mainly focus on modeling the context of the global image to obtain high-quality segmentation results. However, they ignore the role of local … |
GUILIN ZHU et. al. | IEEE Transactions on Circuits and Systems for Video … | 2024-02-01 |
| 427 | RAFNet: Reparameterizable Across-Resolution Fusion Network for Real-Time Image Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The demand to implement semantic segmentation networks on mobile devices has increased dramatically. However, existing real-time semantic segmentation methods still suffer from a … |
Lei Chen; Huhe Dai; Yuan Zheng; | IEEE Transactions on Circuits and Systems for Video … | 2024-02-01 |
| 428 | Low-Rank Sparse Generative Adversarial Unsupervised Domain Adaptation for Multitarget Traffic Scene Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation in diverse real-world traffic scenes is a challenging task for autonomous vehicles to have a reliable understanding of the outside environment. Although deep … |
M. Saffari; Mahdi Khodayar; | IEEE Transactions on Industrial Informatics | 2024-02-01 |
| 429 | Small Target Augmentation for Urban Remote Sensing Image Real-Time Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Urban remote sensing (URS) image segmentation is very important for many applications from automotive navigation to infrastructure monitoring, and urban management. There are … |
Shasha Ren; Qiong Liu; | IEEE Transactions on Intelligent Transportation Systems | 2024-02-01 |
| 430 | Few-Shot Semantic Segmentation for Consumer Electronics: An Inter-Class Relation Mining Approach Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Few-shot semantic segmentation (FSS), which can perform segmentation using only a limited number of annotated examples, is a promising technique that has been embedded in many … |
HUAFEI HUANG et. al. | IEEE Transactions on Consumer Electronics | 2024-02-01 |
| 431 | FRPNet: An Improved Faster-ResNet with PASPP for Real-time Semantic Segmentation in The Unstructured Field Scene Related Papers Related Patents Related Grants Related Venues Related Experts View |
BIAO YANG et. al. | Comput. Electron. Agric. | 2024-02-01 |
| 432 | Multi-Level Medical Image Segmentation Network Based on Multi-Scale and Context Information Fusion Strategy Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Accurate segmentation of human tissue structure from medical images is one of the critical links in medical image diagnosis. However, due to the medical image scale of different … |
DAYU TAN et. al. | IEEE Transactions on Emerging Topics in Computational … | 2024-02-01 |
| 433 | SubPipe: A Submarine Pipeline Inspection Dataset for Segmentation and Visual-inertial Localization Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper presents SubPipe, an underwater dataset for SLAM, object detection, and image segmentation. |
OLAYA ÁLVAREZ-TUÑÓN et. al. | arxiv-cs.RO | 2024-01-31 |
| 434 | Towards Image Semantics and Syntax Sequence Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To learn the image grammar relative to a class of visual objects/scenes, we propose a weakly supervised two-stage approach. |
Chun Tao; Timur Ibrayev; Kaushik Roy; | arxiv-cs.CV | 2024-01-30 |
| 435 | CAFCT-Net: A CNN-Transformer Hybrid Network with Contextual and Attentional Feature Fusion for Liver Tumor Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a Contextual and Attentional feature Fusions enhanced Convolutional Neural Network (CNN) and Transformer hybrid network (CAFCT-Net) for liver tumor segmentation. |
Ming Kang; Chee-Ming Ting; Fung Fung Ting; Raphaël Phan; | arxiv-cs.CV | 2024-01-30 |
| 436 | Synthetic Data Enables Faster Annotation and Robust Segmentation for Multi-object Grasping in Clutter Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a synthetic data generation method that minimizes human intervention and makes downstream image segmentation algorithms more robust by combining a generated synthetic dataset with a smaller real-world dataset (hybrid dataset). |
Dongmyoung Lee; Wei Chen; Nicolas Rojas; | arxiv-cs.CV | 2024-01-24 |
| 437 | Self-Supervised Vision Transformers Are Efficient Segmentation Learners for Imperfect Labels Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This study demonstrates a cost-effective approach to semantic segmentation using self-supervised vision transformers (SSVT). |
Seungho Lee; Seoungyoon Kang; Hyunjung Shim; | arxiv-cs.CV | 2024-01-23 |
| 438 | DatUS^2: Data-driven Unsupervised Semantic Segmentation with Pre-trained Self-supervised Vision Transformer Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, unsupervised dense semantic segmentation has not been explored as a downstream task, which can utilize and evaluate the quality of semantic information introduced in patch-level feature representations during self-supervised training of a vision transformer. Therefore, this paper proposes a novel data-driven approach for unsupervised semantic segmentation (DatUS^2) as a downstream task. |
Sonal Kumar; Arijit Sur; Rashmi Dutta Baruah; | arxiv-cs.CV | 2024-01-23 |
| 439 | Semantic Prompt Learning for Weakly-Supervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To address the issues, we propose a Semantic Prompt Learning for WSSS (SemPLeS) framework, which learns to effectively prompt the CLIP latent space to enhance the semantic alignment between the segmented regions and the target object categories. |
Ci-Siang Lin; Chien-Yi Wang; Yu-Chiang Frank Wang; Min-Hung Chen; | arxiv-cs.CV | 2024-01-22 |
| 440 | Concealed Object Segmentation with Hierarchical Coherence Modeling Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Despite achieving remarkable success, existing COS segmenters still struggle to achieve complete segmentation results in extremely concealed scenarios. In this paper, we propose a Hierarchical Coherence Modeling (HCM) segmenter for COS, aiming to address this incomplete segmentation limitation. |
Fengyang Xiao; Pan Zhang; Chunming He; Runze Hu; Yutao Liu; | arxiv-cs.CV | 2024-01-22 |
| 441 | MetaSeg: Content-Aware Meta-Net for Omni-Supervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Inspired by recent advances in meta learning, we argue that rather than struggling to tolerate noise hidden behind clean labels passively, a more feasible solution would be to find out the noisy regions actively, so as to simply ignore them during model optimization. With this in mind, this work presents a novel meta learning based semantic segmentation method, MetaSeg, that comprises a primary content-aware meta-net (CAM-Net) to sever as a noise indicator for an arbitrary segmentation model counterpart. |
SHENWANG JIANG et. al. | arxiv-cs.CV | 2024-01-22 |
| 442 | S$^{3}$M-Net: Joint Learning of Semantic Segmentation and Stereo Matching for Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation and stereo matching are two essential components of 3D environmental perception systems for autonomous driving. Nevertheless, conventional approaches often … |
ZHIYUAN WU et. al. | IEEE Transactions on Intelligent Vehicles | 2024-01-21 |
| 443 | S$^3$M-Net: Joint Learning of Semantic Segmentation and Stereo Matching for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Hence, in this article, we introduce S$^3$M-Net, a novel joint learning framework developed to perform semantic segmentation and stereo matching simultaneously. |
ZHIYUAN WU et. al. | arxiv-cs.CV | 2024-01-21 |
| 444 | Spatial Structure Constraints for Weakly Supervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose spatial structure constraints (SSC) for weakly supervised semantic segmentation to alleviate the unwanted object over-activation of attention expansion. |
TAO CHEN et. al. | arxiv-cs.CV | 2024-01-20 |
| 445 | XAI-Enhanced Semantic Segmentation Models for Visual Quality Inspection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a framework to bolster visual quality inspection by using CAM-based explanations to refine semantic segmentation models. |
Tobias Clement; Truong Thanh Hung Nguyen; Mohamed Abdelaal; Hung Cao; | arxiv-cs.CV | 2024-01-18 |
| 446 | RAP-SAM: Towards Real-Time All-Purpose Segment Anything IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: It contains three different tasks, including interactive segmentation, panoptic segmentation, and video segmentation. We aim to use one model to achieve the above tasks in real-time. |
SHILIN XU et. al. | arxiv-cs.CV | 2024-01-18 |
| 447 | OMG-Seg: Is One Model Good Enough For All Segmentation? IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we address various segmentation tasks, each traditionally tackled by distinct or partially unified models. |
XIANGTAI LI et. al. | arxiv-cs.CV | 2024-01-18 |
| 448 | Uncertainty Estimates for Semantic Segmentation: Providing Enhanced Reliability for Automated Motor Claims Handling Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We explore the use of a meta-classification model to empirically assess the precision of segments predicted by a model trained for the semantic segmentation of car body parts. |
Jan Küchler; Daniel Kröll; Sebastian Schoenen; Andreas Witte; | arxiv-cs.CV | 2024-01-17 |
| 449 | Importance-Aware Image Segmentation-based Semantic Communication for Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This article studies the problem of image segmentation-based semantic communication in autonomous driving. In real traffic scenes, detecting the key objects (e.g., vehicles, … |
JIE LV et. al. | ArXiv | 2024-01-16 |
| 450 | Semantic Scene Segmentation for Robotics IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, the recent advances in deep learning combined with the boost in the computational capacity and the availability of large-scale labeled datasets have led to significant advances in semantic segmentation. In this chapter, we introduce the task of semantic segmentation and present the deep learning techniques that have been proposed to address this task over the years. |
Juana Valeria Hurtado; Abhinav Valada; | arxiv-cs.RO | 2024-01-15 |
| 451 | Learning Segmented 3D Gaussians Via Efficient Feature Unprojection for Zero-shot Neural Scene Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This issue stems primarily from their redundant learnable attributes assigned on individual Gaussians, leading to a lack of robustness against the 3D-inconsistencies in zero-shot generated raw labels. To address this problem, our work, named Compact Segmented 3D Gaussians (CoSegGaussians), proposes the Feature Unprojection and Fusion module as the segmentation field, which utilizes a shallow decoder generalizable for all Gaussians based on high-level features. |
Bin Dou; Tianyu Zhang; Zhaohui Wang; Yongjia Ma; Zejian Yuan; | arxiv-cs.CV | 2024-01-11 |
| 452 | Attention-based Prohibited Item Detection in X-ray Images During Security Checking Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper focuses on the intelligent detection of prohibited items in X‐ray images during the security checking process. An intelligent semantic segmentation model of prohibited … |
Haigang Zhang; Zihao Zhao; Jinfeng Yang; | IET Image Process. | 2024-01-10 |
| 453 | Generic Knowledge Boosted Pretraining for Remote Sensing Images IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep learning models are essential for scene classification, change detection, land cover segmentation, and other remote sensing (RS) image understanding tasks. Most backbones of … |
Ziyue Huang; Mingming Zhang; Yuan Gong; Qingjie Liu; Yunhong Wang; | IEEE Transactions on Geoscience and Remote Sensing | 2024-01-09 |
| 454 | Shadow-Robust Semantic Segmentation for Autonomous Navigation in Walking Space Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Extensive research has been conducted on autonomous navigation systems for last-mile outdoor transportation. A method in previous work utilizes semantic segmentation to classify … |
Kota Hayashi; Hiroaki Nakamichi; H. Yoshitake; Motoki Shino; | 2024 IEEE/SICE International Symposium on System … | 2024-01-08 |
| 455 | Primitive Geometry Segment Pre-training for 3D Medical Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We thus present the Primitive Geometry Segment Pre-training (PrimGeoSeg) method to enable the learning of 3D semantic features by pre-training segmentation tasks using only primitive geometric objects for 3D medical image segmentation. |
Ryu Tadokoro; Ryosuke Yamada; Kodai Nakashima; Ryo Nakamura; Hirokatsu Kataoka; | arxiv-cs.CV | 2024-01-07 |
| 456 | Scene Simplification for Simulated Prosthetic Vision with Improved Scene Understanding Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Visual impairment or blindness affects millions of people worldwide, causing significant challenges in their daily activities and communication. These people are potentially a … |
Shijie Yang; Dehao Han; Jingbang Wu; Xiaoming Chen; Vera Chung; | 2024 IEEE International Conference on Consumer Electronics … | 2024-01-06 |
| 457 | CSMB-VSS: Video Scene Segmentation with Cosine Similarity Matrix Related Papers Related Patents Related Grants Related Venues Related Experts View |
Zeyu Chen; Xinbo Wang; Ji Wang; Yi Zhang; Xiang Cao; | Multim. Tools Appl. | 2024-01-06 |
| 458 | Systematic Review of Image Segmentation Using Complex Networks Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This review presents various image segmentation methods using complex networks. |
Amin Rezaei; Fatemeh Asadi; | arxiv-cs.CV | 2024-01-05 |
| 459 | DeVOS: Flow-Guided Deformable Transformer for Video Object Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The recent works on Video Object Segmentation achieved remarkable results by matching dense semantic and instance-level features between the current and previous frames for … |
VOLODYMYR FEDYNYAK et. al. | 2024 IEEE/CVF Winter Conference on Applications of Computer … | 2024-01-03 |
| 460 | FOSSIL: Free Open-Vocabulary Semantic Segmentation Through Synthetic References Retrieval Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Unsupervised Open-Vocabulary Semantic Segmentation aims to segment an image into regions referring to an arbitrary set of concepts described by text, without relying on dense … |
Luca Barsellotti; Roberto Amoroso; L. Baraldi; R. Cucchiara; | 2024 IEEE/CVF Winter Conference on Applications of Computer … | 2024-01-03 |
| 461 | Temporally-Consistent Video Semantic Segmentation with Bidirectional Occlusion-guided Feature Propagation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Despite recent progress in static image segmentation, video segmentation is still challenging due to the need for an accurate, fast, and temporally consistent model. Conducting … |
Razieh Kaviani Baghbaderani; Yuanxin Li; Shuangquan Wang; Hairong Qi; | 2024 IEEE/CVF Winter Conference on Applications of Computer … | 2024-01-03 |
| 462 | Object Pose Estimation From RGB-D Images With Affordance-Instance Segmentation Constraint for Semantic Robot Manipulation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Object pose estimation is a crucial task for semantic robot manipulation involving the detection of suitable manipulation regions. Given the diversity of object shapes and scene … |
Zhongli Wang; Guohui Tian; | IEEE Robotics and Automation Letters | 2024-01-01 |
| 463 | Research on Image Semantic Segmentation Based on Hybrid Cascade Feature Fusion and Detailed Attention Mechanism Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In view of the low segmentation accuracy for small-scale object and insufficient segmentation of local boundary for semantic segmentation methods based on Deep Learning, this … |
Zuoqiang Du; Yuan Liang; | IEEE Access | 2024-01-01 |
| 464 | Semantic Image Segmentation By Dynamic Discriminative Prototypes Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation achieves significant success through large-scale training data. Meanwhile, few-shot semantic segmentation was proposed to segment image regions of novel … |
Kaipeng Zhang; Yoichi Sato; | IEEE Transactions on Multimedia | 2024-01-01 |
| 465 | Evaluation of Global-Scale and Local-Scale Optimized Segmentation Algorithms in GEOBIA With SAM on Land Use and Land Cover Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Segmentation is crucial in geographic object-based image analysis for accurate land use and land cover mapping. However, obtaining outstanding segmentation results in all … |
Tao He; Jianyu Chen; Linchong Kang; Qiankun Zhu; | IEEE Journal of Selected Topics in Applied Earth … | 2024-01-01 |
| 466 | Semantic Segmentation-Based Intelligent Threshold-Free Feeder Detection Method for Single-Phase Ground Fault in Distribution Networks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Feeder detection for single-phase ground fault (SPGF) is challenging in a resonant grounded system due to the difference in feeder capacitance to ground and the influence of the … |
Cui Hong; Heng-Yi Qiu; Jian-Hong Gao; Shuyue Lin; Moufa Guo; | IEEE Transactions on Instrumentation and Measurement | 2024-01-01 |
| 467 | Dual-Guided Frequency Prototype Network for Few-Shot Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Few-shot semantic segmentation is a challenging task that aims to segment novel classes in the query images given only a few annotated support samples. Most existing … |
Chunlin Wen; Hui Huang; Yan Ma; Feiniu Yuan; Hongqing Zhu; | IEEE Transactions on Multimedia | 2024-01-01 |
| 468 | Swin-CDSA: The Semantic Segmentation of Remote Sensing Images Based on Cascaded Depthwise Convolution and Spatial Attention Mechanism Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: As an important task in remote sensing image processing, semantic segmentation of remote sensing images has broad application prospects in many fields such as disaster warning and … |
YUHAN KANG et. al. | IEEE Geoscience and Remote Sensing Letters | 2024-01-01 |
| 469 | Densely Multiscale Fusion Network for Lightweight and Accurate Semantic Segmentation of Railway Scenes Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation in railway scenes constitutes a fundamental task in the context of autonomous train driving, serving as a critical source of positional information for other … |
LIRONG LIAN et. al. | IEEE Transactions on Instrumentation and Measurement | 2024-01-01 |
| 470 | TransSea: Hybrid CNN–Transformer With Semantic Awareness for 3-D Brain Tumor Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Accurate segmentation of brain tumors in multimodal magnetic resonance imaging (MRI) plays a crucial role in clinical quantitative assessments, diagnostic processes, and the … |
Yu Liu; Yize Ma; Zhiqin Zhu; Juan Cheng; Xun Chen; | IEEE Transactions on Instrumentation and Measurement | 2024-01-01 |
| 471 | A Stepwise Refining Image-Level Weakly Supervised Semantic Segmentation Method for Detecting Exposed Surface for Buildings (ESB) From Very High-Resolution Remote Sensing Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Exposed surface for buildings (ESB), which refers to exposed surfaces with traces of building construction, often leads to urban dust. Accurate ESB detection is important for … |
Xin Huang; Wenrui Wang; Jiayi Li; Leiguang Wang; Xing Xie; | IEEE Transactions on Geoscience and Remote Sensing | 2024-01-01 |
| 472 | End-to-End Instance-Level Human Parsing By Segmenting Persons Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Instance-level human parsing is aimed at separately partitioning the human body into different semantic parts for each individual, which remains a challenging task due to human … |
Zhuang Li; Leilei Cao; Hongbin Wang; Lihong Xu; | IEEE Transactions on Multimedia | 2024-01-01 |
| 473 | Robust 3D Semantic Segmentation Based on Multi-Phase Multi-Modal Fusion for Intelligent Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: 3D semantic segmentation is a key technology for intelligent vehicles. Recently, great efforts have been made to achieve accurate and robust 3D semantic segmentation results … |
PEIZHOU NI et. al. | IEEE Transactions on Intelligent Vehicles | 2024-01-01 |
| 474 | RailCloud-HdF: A Large-Scale Point Cloud Dataset for Railway Scene Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: : Semantic scene perception is critical for various applications, including railway systems where safety and efficiency are paramount. Railway applications demand precise … |
Mahdi Abid; Mathis Teixeira; Ankur Mahtani; Thomas Laurent; | VISIGRAPP : VISAPP | 2024-01-01 |
| 475 | Enhanced Visual SLAM for Construction Robots By Efficient Integration of Dynamic Object Segmentation and Scene Semantics Related Papers Related Patents Related Grants Related Venues Related Experts View |
Liu Yang; Hubo Cai; | Adv. Eng. Informatics | 2024-01-01 |
| 476 | Multilateral Semantic With Dual Relation Network for Remote Sensing Images Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation of remote sensing images is an extensively employed and demanding task. Although deep convolutional neural networks have significantly increased the accuracy … |
Weiheng Zhao; Jiannong Cao; Xueyan Dong; | IEEE Journal of Selected Topics in Applied Earth … | 2024-01-01 |
| 477 | DSHNet: A Semantic Segmentation Model of Remote Sensing Images Based on Dual Stream Hybrid Network Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation is an important issue in intelligent interpretation of remote sensing, playing an important role in applications such as Earth observation and land data … |
Yujia Fu; Xiangrong Zhang; Mingyang Wang; | IEEE Journal of Selected Topics in Applied Earth … | 2024-01-01 |
| 478 | Image Semantic Segmentation Approach Based on DeepLabV3 Plus Network with An Attention Mechanism IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
YANYAN LIU et. al. | Eng. Appl. Artif. Intell. | 2024-01-01 |
| 479 | Prototype Comparison Convolutional Networks for One-Shot Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In few-shot semantic segmentation (FSS), the key challenges are efficiently tuning the interaction between the support set and the query set and distinguishing between context, … |
LINGBO LI et. al. | IEEE Access | 2024-01-01 |
| 480 | Cin-Seg: Causal Invariance for Tag-Supervised Segmentation on Medical Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Weakly supervised semantic segmentation (WSSS) is the method of learning a segmentation model with only weak labels, e.g., image-level labels. For WSSS methods, the segmentation … |
Zhang Chen; Zhiqiang Tian; Jihua Zhu; Shaoyi Du; Qindong Sun; | IEEE Transactions on Instrumentation and Measurement | 2024-01-01 |
| 481 | DETisSeg: A Dual-encoder Network for Tissue Semantic Segmentation of Histopathology Image Related Papers Related Patents Related Grants Related Venues Related Experts View |
Penghui He; Aiping Qu; Shuomin Xiao; Meidan Ding; | Biomed. Signal Process. Control. | 2024-01-01 |
| 482 | On Exploring Shape and Semantic Enhancements for RGB-X Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The robustness of scene segmentation can be enhanced with the aid of other modality information, e.g., thermal or/and depth, under poor environmental conditions. In this context, … |
Yuanjian Yang; Caifeng Shan; Fang Zhao; Wenli Liang; Jungong Han; | IEEE Transactions on Intelligent Vehicles | 2024-01-01 |
| 483 | Semantic Anything in 3D Gaussians IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: 3D Gaussian Splatting has emerged as an alternative 3D representation of Neural Radiance Fields (NeRFs), bene-fiting from its high-quality rendering results and real-time … |
XU HU et. al. | ArXiv | 2024-01-01 |
| 484 | Semantic Transition Detection for Self-supervised Video Scene Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View |
Lu Chen; Jiawei Tan; Pingan Yang; Hongxing Wang; | Conference on Multimedia Modeling | 2024-01-01 |
| 485 | Mutual Dual-Task Generator With Adaptive Attention Fusion for Image Inpainting Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image segmentation can reveal the semantic structure information in an image, which is helpful guidance information for image inpainting. Notably, it can help mitigate the … |
Yongle Zhang; Yimin Liu; Ruotong Hu; Qiang Wu; Jian Zhang; | IEEE Transactions on Multimedia | 2024-01-01 |
| 486 | Cross-City Semantic Segmentation (C2Seg) in Multimodal Remote Sensing: Outcome of The 2023 IEEE WHISPERS C2Seg Challenge Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Given the ever-growing availability of remote sensing data (e.g., Gaofen in China, Sentinel in the EU, and Landsat in the USA), multimodal remote sensing techniques have been … |
YUHENG LIU et. al. | IEEE Journal of Selected Topics in Applied Earth … | 2024-01-01 |
| 487 | A Deep Learning Image Augmentation Method for Field Agriculture Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Vision-based smart agriculture is an important way to improve the efficiency of agricultural production. Labeling images for deep learning in complex field photos is a difficult … |
Kunlin Zou; Yi Shan; Xun Zhao; De Cai Ran; Xiaoxi Che; | IEEE Access | 2024-01-01 |
| 488 | A Sample Augmentation Method for Side-Scan Sonar Full-Class Images That Can Be Used for Detection and Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: To solve the problems of small samples, acquisition difficulties, under representation and labeling difficulties in object detection, recognition, and segmentation tasks for … |
Zhiwei Yang; Jianhu Zhao; Yongcan Yu; Chao Huang; | IEEE Transactions on Geoscience and Remote Sensing | 2024-01-01 |
| 489 | Design of Forward-Looking Sonar System for Real-Time Image Segmentation With Light Multiscale Attention Net Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Forward-looking sonar is a commonly used underwater detection device. However, due to the complex underwater environment, small target areas, and blurred features, the detection … |
DONGDONG ZHAO et. al. | IEEE Transactions on Instrumentation and Measurement | 2024-01-01 |
| 490 | Stealthy Adversarial Examples for Semantic Segmentation in Remote Sensing Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep learning methods have been proven effective in remote sensing image analysis and interpretation, where semantic segmentation plays a vital role. These deep segmentation … |
Tao Bai; Yiming Cao; Yonghao Xu; Bihan Wen; | IEEE Transactions on Geoscience and Remote Sensing | 2024-01-01 |
| 491 | SAM2-PATH: A Better Segment Anything Model for Semantic Segmentation in Digital Pathology Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The semantic segmentation task in pathology plays an indispensable role in assisting physicians in determining the condition of tissue lesions. Foundation models, such as the SAM … |
MINGYA ZHANG et. al. | ArXiv | 2024-01-01 |
| 492 | Scenario-Based Segmentation: Traffic Image Segmentation By GNN Based Driver’s Scenario Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper introduces the Scenario-Based Segmentation Network (SBS-Net), which highlights significant advances in autonomous driving. Through the integration of the Scenario … |
Seungwoo Nham; Jinho Lee; Seongryul Yang; Jihun Kim; Shunsuke Kamijo; | IEEE Access | 2024-01-01 |
| 493 | A Knowledge Distillation-Based Ground Feature Classification Network With Multiscale Feature Fusion in Remote-Sensing Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: As a fundamental task in remote-sensing interpretation, semantic segmentation of remote-sensing images intends to allocate a definite class to each pixel in the image. Fast and … |
Yang Yang; Yanhui Wang; Junwu Dong; Bibo Yu; | IEEE Journal of Selected Topics in Applied Earth … | 2024-01-01 |
| 494 | Frequency-Driven Edge Guidance Network for Semantic Segmentation of Remote Sensing Images IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation plays a significant role in parsing remote sensing images. However, mainstream segmentation models lack a thorough understanding of the complex structures … |
JINSONG LI et. al. | IEEE Journal of Selected Topics in Applied Earth … | 2024-01-01 |
| 495 | Advancing Data-Efficient Exploitation for Semi-Supervised Remote Sensing Images Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: To reduce the dependence of remote sensing (RS) image semantic segmentation models on extensive pixel-level annotated images, this article aims to address the issue of … |
Liang Lv; Lefei Zhang; | IEEE Transactions on Geoscience and Remote Sensing | 2024-01-01 |
| 496 | A Novel SegNet Model for Crack Image Semantic Segmentation in Bridge Inspection Related Papers Related Patents Related Grants Related Venues Related Experts View |
RONG PANG et. al. | Pacific-Asia Conference on Knowledge Discovery and Data … | 2024-01-01 |
| 497 | SliceMamba for Medical Image Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Despite the progress made in Mamba-based medical image segmentation models, current methods utilizing unidirectional or multi-directional feature scanning mechanisms fail to well … |
CHAO FAN et. al. | ArXiv | 2024-01-01 |
| 498 | Unbalanced Class Learning Network With Scale-Adaptive Perception for Complicated Scene in Remote Sensing Images Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The semantic segmentation of wide-field remote sensing images (RSIs) plays a significant role in many fields. However, due to the complexity of the content of RSIs, the dataset … |
HE WANG et. al. | IEEE Transactions on Geoscience and Remote Sensing | 2024-01-01 |
| 499 | ER-Swin: Feature Enhancement and Refinement Network Based on Swin Transformer for Semantic Segmentation of Remote Sensing Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: As the field of remote sensing image processing continues to advance, semantic segmentation has become a focal point in this domain. The emergence of the swin transformer (SwinT) … |
Jiang Liu; Shuli Cheng; Anyu Du; | IEEE Geoscience and Remote Sensing Letters | 2024-01-01 |
| 500 | Encouraging The Mutual Interact Between Dataset-Level and Image-Level Context for Semantic Segmentation of Remote Sensing Image Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recently, semantic segmentation of remote sensing images has witnessed rapid advancement with the adoption of deep neural networks. Contextual cues, referring to the long-range … |
Ke An; Yupei Wang; Liang Chen; | IEEE Transactions on Geoscience and Remote Sensing | 2024-01-01 |
| 501 | PIF-Net: A Deep Point-Image Fusion Network for Multimodality Semantic Segmentation of Very High-Resolution Imagery and Aerial Point Cloud Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation is of great significance in many applications. However, automating such a task on single-modality data is challenging in the field of remote sensing due to … |
Zhou Guo; Rui Xu; Chen‐Chieh Feng; Zhao Zeng; | IEEE Transactions on Geoscience and Remote Sensing | 2024-01-01 |
| 502 | Crop Identification of UAV Images Based on An Unsupervised Semantic Segmentation Method Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Crop identification is a fundamental task in remote sensing image interpretation. The rapid development of unmanned aerial vehicle (UAV) has revolutionized the acquisition of … |
Zebing Zhang; Leiguang Wang; Yuncheng Chen; Chen Zheng; | IEEE Geoscience and Remote Sensing Letters | 2024-01-01 |
| 503 | Online Continual Domain Adaptation for Semantic Image Segmentation Using Internal Representations Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We develop an online UDA algorithm for semantic segmentation of images that improves model generalization on unannotated domains in scenarios where source data access is restricted during adaptation. |
Serban Stan; Mohammad Rostami; | arxiv-cs.CV | 2024-01-01 |
| 504 | PCL: Point Contrast and Labeling for Weakly Supervised Point Cloud Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Point cloud semantic segmentation is a fundamental task in 3D scene understanding and has recently achieved remarkable progress. The success of existing approaches is attributed … |
Anan Du; Tianfei Zhou; Shuchao Pang; Qiang Wu; Jian Zhang; | IEEE Transactions on Multimedia | 2024-01-01 |
| 505 | Region-Based Unsupervised Low-Light Image Enhancement in The Wild With Explicit Domain Supervision Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Prior unsupervised low-light image enhancement methods have exhibited commendable performance within indoor environments. However, adopting them in the wild scene whose low-light … |
YINGJIE MA et. al. | IEEE Transactions on Instrumentation and Measurement | 2024-01-01 |
| 506 | DRD-UNet, A UNet-Like Architecture for Multi-Class Breast Cancer Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Staining of histological slides with Hematoxylin and Eosin is widely used in clinical and laboratory settings as these dyes reveal nuclear structures as well as cytoplasm and … |
Mauricio Alberto Ortega-Ruiz; C. Karabağ; Edgar Roman-Rangel; C. Reyes-Aldasoro; | IEEE Access | 2024-01-01 |
| 507 | Adaptive Self-Supporting Prototype Learning for Remote Sensing Few-Shot Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The semantic segmentation of remote sensing images with few shots has important theoretical and application value. Most of the existing few-shot semantic segmentation frameworks … |
Weihao Shen; A. Ma; Junjue Wang; Zhuo Zheng; Yanfei Zhong; | IEEE Transactions on Geoscience and Remote Sensing | 2024-01-01 |
| 508 | RSSGLT: Remote Sensing Image Segmentation Network Based on Global–Local Transformer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Remotely captured images possess an immense scale and object appearance variability due to the complex scene. It becomes challenging to capture the underlying attributes in the … |
S. Kumar; Abhishek Kumar; Dong-Gyu Lee; | IEEE Geoscience and Remote Sensing Letters | 2024-01-01 |
| 509 | A Lightweight CNN–Transformer Network With Laplacian Loss for Low-Altitude UAV Imagery Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation is crucial for enabling autonomous flight and landing of low-altitude unmanned aerial vehicles (UAVs) and is indispensable for various intelligent … |
Wen Lu; Zhiqi Zhang; Minh Nguyen; | IEEE Transactions on Geoscience and Remote Sensing | 2024-01-01 |
| 510 | MA-DBFAN: Multiple-attention-based Dual Branch Feature Aggregation Network for Aerial Image Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View |
Haoyu Yue; Junhong Yue; Xuejun Guo; Yizhen Wang; Liancheng Jiang; | Signal Image Video Process. | 2024-01-01 |
| 511 | CloudFU-Net: A Fine-Grained Segmentation Method for Ground-Based Cloud Images Based on An Improved Encoder–Decoder Structure Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The segmentation of ground-based cloud image is a crucial aspect of ground-based cloud observation, with significant implications for meteorological forecasting, photovoltaic … |
CHAOJUN SHI et. al. | IEEE Transactions on Geoscience and Remote Sensing | 2024-01-01 |
| 512 | A Simple Framework of Few-Shot Learning Using Sparse Annotations for Semantic Segmentation of 3-D Point Clouds Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The semantic segmentation of point clouds plays a crucial role in the interpretation of 3-D scene. However, the majority of supervised learning methods needs a great number of … |
Rong Huang; Yang Gao; Yusheng Xu; L. Hoegner; X. Tong; | IEEE Journal of Selected Topics in Applied Earth … | 2024-01-01 |
| 513 | SSF-MOS: Semantic Scene Flow Assisted Moving Object Segmentation for Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Detecting moving objects in dynamic environments is precisely essential in autonomous driving. Existing object detection methods using point clouds have difficulties in … |
Tao Song; Yunhao Liu; Ziying Yao; Xinkai Wu; | IEEE Transactions on Instrumentation and Measurement | 2024-01-01 |
| 514 | Learn More and Learn Usefully: Truncation Compensation Network for Semantic Segmentation of High-Resolution Remote Sensing Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation of high-resolution remote-sensing images (HR-RSIs) focuses on classifying each pixel of input images. Recent methods have incorporated a downscaled global … |
Li Zhang; Zhenshan Tan; Guo Zhang; Wen Zhang; Zhijiang Li; | IEEE Transactions on Geoscience and Remote Sensing | 2024-01-01 |
| 515 | GFFNet: Global Feature Fusion Network for Semantic Segmentation of Large-Scale Remote Sensing Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation plays a pivotal role in interpreting high-resolution remote sensing images (RSIs), where contextual information is essential for achieving accurate … |
Yong Cao; Chunlei Huo; Shiming Xiang; Chunhong Pan; | IEEE Journal of Selected Topics in Applied Earth … | 2024-01-01 |
| 516 | Stair Fusion Network With Context-Refined Attention for Remote Sensing Image Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation of remote sensing images is essential in various fields, such as Earth resource census, environmental pollution monitoring, and land use planning. The … |
Jia Liu; Wenyi Hua; Wenhua Zhang; Fang Liu; Liang Xiao; | IEEE Transactions on Geoscience and Remote Sensing | 2024-01-01 |
| 517 | Scene-Adaptive 3D Semantic Segmentation Based on Multi-Level Boundary-Semantic-Enhancement for Intelligent Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: 3D semantic segmentation is a key technology of scene understanding in the self-driving field, which remains challenging problems. Recent 3D segmentation methods have achieved … |
Peizhou Ni; Xu Li; Dong Kong; Xiaoqing Yin; | IEEE Transactions on Intelligent Vehicles | 2024-01-01 |
| 518 | DHRNet: A Dual-Branch Hybrid Reinforcement Network for Semantic Segmentation of Remote Sensing Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In the field of remote sensing image processing, semantic segmentation has always been a hot research topic. Currently, deep convolutional neural networks (DCNNs) are the … |
Qinyan Bai; Xiaobo Luo; Yaxu Wang; Tengfei Wei; | IEEE Journal of Selected Topics in Applied Earth … | 2024-01-01 |
| 519 | MFCANet: A Road Scene Segmentation Network Based on Multi-Scale Feature Fusion and Context Information Aggregation Related Papers Related Patents Related Grants Related Venues Related Experts View |
YUNFENG WANG et. al. | J. Vis. Commun. Image Represent. | 2024-01-01 |
| 520 | SonarNet: Hybrid CNN-Transformer-HOG Framework and Multifeature Fusion Mechanism for Forward-Looking Sonar Image Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Forward-looking sonar (FLS) image segmentation plays a significant role in ocean engineering. However, the existing image segmentation algorithms present difficulties in … |
Ju He; Jianfeng Chen; Hu Xu; Yang Yu; | IEEE Transactions on Geoscience and Remote Sensing | 2024-01-01 |
| 521 | MixUNet: A Lightweight Medical Image Segmentation Network Capturing Multidimensional Semantic Information Related Papers Related Patents Related Grants Related Venues Related Experts View |
YUFENG CHEN et. al. | Biomed. Signal Process. Control. | 2024-01-01 |
| 522 | MASNet: Road Semantic Segmentation Based on Multiscale Modality Fusion Perception Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the growing complexity of driving environments, relying solely on a single sensor for scene understanding is no longer sufficient. To address this issue, this article … |
Xiaohang Li; Jianjiang Zhou; | IEEE Transactions on Instrumentation and Measurement | 2024-01-01 |
| 523 | MCAT-UNet: Convolutional and Cross-Shaped Window Attention Enhanced UNet for Efficient High-Resolution Remote Sensing Image Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation is a crucial step in the intelligent interpretation of high-resolution remote sensing images (HRSIs). Convolutional neural networks and transformers are … |
TAO WANG et. al. | IEEE Journal of Selected Topics in Applied Earth … | 2024-01-01 |
| 524 | Fine-Grained Human Hair Segmentation Using A Text-to-Image Diffusion Model Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Human hair segmentation is essential for face recognition and for achieving natural transformation of style transfer. However, it remains a challenging task due to the diverse … |
Dohyun Kim; Euna Lee; Daehyun Yoo; Hongchul Lee; | IEEE Access | 2024-01-01 |
| 525 | Boundary-Guided Lightweight Semantic Segmentation With Multi-Scale Semantic Context Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Lightweight semantic segmentation plays an essential role in image signal processing that is beneficial to many multimedia applications, such as self-driving, robotic vision, and … |
QUAN ZHOU et. al. | IEEE Transactions on Multimedia | 2024-01-01 |
| 526 | Clustering-Guided Class Activation for Weakly Supervised Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Abstract: Weakly-supervised semantic segmentation (WSSS) methods via transformer have been actively studied by leveraging their strong capability to capture the global context. However, … |
Yeong Woo Kim; Wonjun Kim; | IEEE Access | 2024-01-01 |
| 527 | Dense Dual-Branch Cross Attention Network for Semantic Segmentation of Large-Scale Point Clouds Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation of large-scale point clouds provides foundational knowledge for various geodetic and cartographic applications, including autonomous driving, smart cities, … |
ZIWEI LUO et. al. | IEEE Transactions on Geoscience and Remote Sensing | 2024-01-01 |
| 528 | MeSAM: Multiscale Enhanced Segment Anything Model for Optical Remote Sensing Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Segment anything model (SAM) has been widely applied to various downstream tasks for its excellent performance and generalization capability. However, SAM exhibits three … |
XICHUAN ZHOU et. al. | IEEE Transactions on Geoscience and Remote Sensing | 2024-01-01 |
| 529 | Point-Based Weakly Supervised Deep Learning for Semantic Segmentation of Remote Sensing Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Weakly supervised semantic segmentation methods can effectively alleviate the problem of high cost and difficult access to annotation in traditional methods. Among these … |
Yuanhao Zhao; Genyun Sun; Ziyan Ling; A. Zhang; Xiuping Jia; | IEEE Transactions on Geoscience and Remote Sensing | 2024-01-01 |
| 530 | Subclassified Loss: Rethinking Data Imbalance From Subclass Perspective for Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation plays a crucial role in enabling intelligent vehicles to perceive and understand their surroundings. However, datasets used for semantic segmentation often … |
SHOUMENG QIU et. al. | IEEE Transactions on Intelligent Vehicles | 2024-01-01 |
| 531 | Salient-Boundary-Guided Pseudo-Pixel Supervision for Weakly-Supervised Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This letter presents an innovative approach for generating pixel-wise pseudo masks as supervision for image-level Weakly Supervised Semantic Segmentation (WSSS). This is achieved … |
Min Shi; Weizhao Deng; Qingming Yi; Weiping Liu; Aiwen Luo; | IEEE Signal Processing Letters | 2024-01-01 |
| 532 | SSDT: Scale-Separation Semantic Decoupled Transformer for Semantic Segmentation of Remote Sensing Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: As we all know, semantic segmentation of remote sensing (RS) images is to classify the images pixel by pixel to realize the semantic decoupling of the images. Most traditional … |
C. ZHENG et. al. | IEEE Journal of Selected Topics in Applied Earth … | 2024-01-01 |
| 533 | TFRNet: Semantic Segmentation Network with Token Filtration and Refinement Method Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Transformer-based semantic segmentation has been developed rapidly. Vision transformer (ViT) rely on self-attention mechanism which employs all image patches to compute long-range … |
Yingdong Ma; Xiaoyu Hu; | IEEE Transactions on Multimedia | 2024-01-01 |
| 534 | 1st Place Solution for 5th LSVOS Challenge: Referring Video Object Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we integrate strengths of that leading RVOS models to build up an effective paradigm. |
ZHUOYAN LUO et. al. | arxiv-cs.CV | 2023-12-31 |
| 535 | Promoting Segment Anything Model Towards Highly Accurate Dichotomous Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We have high expectations regarding whether SAM, as a foundation model, can be improved towards highly accurate object segmentation, which is known as dichotomous image segmentation (DIS). To address this issue, we propose DIS-SAM, which advances SAM towards DIS with extremely accurate details. |
Xianjie Liu; Keren Fu; Qijun Zhao; | arxiv-cs.CV | 2023-12-30 |
| 536 | LISA++: An Improved Baseline for Reasoning Segmentation with Large Language Model Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we introduce LISA++, an update to the existing LISA model, focusing on improving core functionalities while keeping the base architecture intact. |
SENQIAO YANG et. al. | arxiv-cs.CV | 2023-12-28 |
| 537 | An Improved Baseline for Reasoning Segmentation with Large Language Model IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: While LISA effectively bridges the gap between segmentation and large language models to enable reasoning segmentation, it poses certain limitations: unable to distinguish … |
SENQIAO YANG et. al. | ArXiv | 2023-12-28 |
| 538 | Special Perceptual Parsing for Chinese Landscape Painting Scene Understanding: A Semantic Segmentation Approach Related Papers Related Patents Related Grants Related Venues Related Experts View |
RUI YANG et. al. | Neural Comput. Appl. | 2023-12-27 |
| 539 | 2D-Guided 3D Gaussian Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In response, this paper introduces a 3D Gaussian segmentation method implemented with 2D segmentation as supervision. |
KUN LAN et. al. | arxiv-cs.CV | 2023-12-26 |
| 540 | UniRef++: Segment Every Reference Object in Spatial and Temporal Spaces Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we end the current fragmented situation and propose UniRef++ to unify the four reference-based object segmentation tasks with a single architecture. |
JIANNAN WU et. al. | arxiv-cs.CV | 2023-12-25 |
| 541 | I2PN: Improved Image Projection Network for OCTA Image Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Optical coherence tomography (OCT) is one of the most significant advances in medical images, and OCT segmentation is an important task in medical-assisted diagnostics. However, … |
TIANLEI WANG et. al. | Proceedings of the 2023 6th International Conference on … | 2023-12-22 |
| 542 | Few Shot Part Segmentation Reveals Compositional Logic for Industrial Anomaly Detection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this study, we introduce a novel component segmentation model for LA detection that leverages a few labeled samples and unlabeled images sharing logical constraints. |
SOOPIL KIM et. al. | arxiv-cs.CV | 2023-12-21 |
| 543 | BEVSeg2TP: Surround View Camera Bird’s-Eye-View Based Joint Vehicle Segmentation and Ego Vehicle Trajectory Prediction Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The proposed method in this paper predicts trajectories by considering perception and trajectory prediction as a unified system. |
Sushil Sharma; Arindam Das; Ganesh Sistu; Mark Halton; Ciarán Eising; | arxiv-cs.CV | 2023-12-20 |
| 544 | Monocular 3D Object Detection for Construction Scene Analysis Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Three‐dimensional (3D) object detection, that is, localizing and classifying all critical objects in a 3D space, is essential for downstream construction scene analysis tasks. … |
Jie Shen; Lang Jiao; Cong Zhang; Keran Peng; | Computer‐Aided Civil and Infrastructure Engineering | 2023-12-20 |
| 545 | MetaSegNet: Metadata-collaborative Vision-Language Representation Learning for Semantic Segmentation of Remote Sensing Images Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Non-visual data, such as text, can gather extra knowledge from the real world, which can strengthen the interpretability, reliability, and generalization of visual models. Inspired by this, we propose a novel metadata-collaborative segmentation network (MetaSegNet) that applies vision-language representation learning for semantic segmentation of remote sensing images. |
LIBO WANG et. al. | arxiv-cs.CV | 2023-12-19 |
| 546 | All for One, and One for All: UrbanSyn Dataset, The Third Musketeer of Synthetic Driving Scenes Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce UrbanSyn, a photorealistic dataset acquired through semi-procedurally generated synthetic urban driving scenarios. |
JOSE L. GÓMEZ et. al. | arxiv-cs.CV | 2023-12-19 |
| 547 | The Endoscapes Dataset for Surgical Scene Segmentation, Object Detection, and Critical View of Safety Assessment: Official Splits and Benchmark Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this report, we provide detailed dataset statistics (size, class distribution, dataset splits, etc.) and a comprehensive performance benchmark for instance segmentation, object detection, and CVS prediction. |
ADITYA MURALI et. al. | arxiv-cs.CV | 2023-12-19 |
| 548 | SegRefiner: Towards Model-Agnostic Segmentation Refinement with Discrete Diffusion Process Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we explore a principal way to enhance the quality of object masks produced by different segmentation models. |
MENGYU WANG et. al. | arxiv-cs.CV | 2023-12-19 |
| 549 | Semantic Segmentation Using Transfer Learning on Fisheye Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: While semantic segmentation has been extensively studied in the realm of regular perspective images, its application to fisheye images remains relatively unexplored. Existing … |
S. Paul; Zachary Patterson; Nizar Bouguila; | 2023 International Conference on Machine Learning and … | 2023-12-15 |
| 550 | WeatherProof: A Paired-Dataset Approach to Semantic Segmentation in Adverse Weather Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We find that training on these paired clear and adverse weather frames which share an underlying scene results in improved performance on adverse weather data. With this knowledge, we propose a training pipeline which accentuates the advantages of paired-data training using consistency losses and language guidance, which leads to performance improvements by up to 18.4% as compared to standard training procedures. |
BLAKE GELLA et. al. | arxiv-cs.CV | 2023-12-14 |
| 551 | Semi-supervised Semantic Segmentation Meets Masked Modeling:Fine-grained Locality Learning Matters in Consistency Regularization Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This can be because it originally stems from the image classification task and lacks specialized mechanisms to capture fine-grained local semantics that prioritizes in dense prediction. To address this issue, we propose a novel framework called \texttt{MaskMatch}, which enables fine-grained locality learning to achieve better dense segmentation. |
WENTAO PAN et. al. | arxiv-cs.CV | 2023-12-13 |
| 552 | Transferring CLIP’s Knowledge Into Zero-Shot Point Cloud Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we focus on zero-shot point cloud semantic segmentation and propose a simple yet effective baseline to transfer the visual-linguistic knowledge implied in CLIP to point cloud encoder at both feature and output levels. |
YUANBIN WANG et. al. | arxiv-cs.CV | 2023-12-12 |
| 553 | Densify Your Labels: Unsupervised Clustering with Bipartite Matching for Weakly Supervised Point Cloud Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a weakly supervised semantic segmentation method for point clouds that predicts per-point labels from just whole-scene annotations while achieving the performance of recent fully supervised approaches. |
SHAOBO XIA et. al. | arxiv-cs.CV | 2023-12-11 |
| 554 | Cataract-1K: Cataract Surgery Dataset for Scene Segmentation, Phase Recognition, and Irregularity Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Particularly, surgical scene understanding and phase recognition stand as pivotal pillars within the realm of computer-assisted surgery and post-operative assessment of cataract surgery videos. In this context, we present the largest cataract surgery video dataset that addresses diverse requisites for constructing computerized surgical workflow analysis and detecting post-operative irregularities in cataract surgery. |
NEGIN GHAMSARIAN et. al. | arxiv-cs.CV | 2023-12-11 |
| 555 | Architectural Floorplan Recognition Via Iterative Semantic Segmentation Networks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper presents a novel method for architectural floorplan recognition based on iterative semantic segmentation networks, effectively improving the segmentation performance of … |
Wenming Wu; | Proceedings of the 2023 7th International Conference on … | 2023-12-08 |
| 556 | Loss Functions in The Era of Semantic Segmentation: A Survey and Outlook Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To aid researchers in identifying the optimal loss function for their particular application, this survey provides a comprehensive and unified review of $25$ loss functions utilized in image segmentation. |
REZA AZAD et. al. | arxiv-cs.CV | 2023-12-08 |
| 557 | GcDLSeg: Integrating Graph-cut Into Deep Learning for Binary Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To combine the strengths of both approaches, we propose in this study to integrate the graph-cut approach into a deep learning network for end-to-end learning. |
Hui Xie; Weiyu Xu; Ya Xing Wang; John Buatti; Xiaodong Wu; | arxiv-cs.CV | 2023-12-07 |
| 558 | Augmentation-Free Dense Contrastive Knowledge Distillation for Efficient Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Existing methods heavily rely on data augmentation and memory buffer, which entail high computational resource demands when applying them to handle semantic segmentation that requires to preserve high-resolution feature maps for making dense pixel-wise predictions. In order to address this problem, we present Augmentation-free Dense Contrastive Knowledge Distillation (Af-DCD), a new contrastive distillation learning paradigm to train compact and accurate deep neural networks for semantic segmentation applications. |
Jiawei Fan; Chao Li; Xiaolong Liu; Meina Song; Anbang Yao; | arxiv-cs.CV | 2023-12-07 |
| 559 | LiPoSeg: A Lightweight Encoder-Decoder Network for LiDAR-based Road-Object Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: LiDAR point cloud segmentation is one of the most challenging tasks in autonomous driving systems, as it requires a cutting-edge perception method that should be accurate, … |
Anh-Kiet Vo; Thien Huynh-The; | Proceedings of the 12th International Symposium on … | 2023-12-07 |
| 560 | Auto-Vocabulary Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we introduce \textit{Auto-Vocabulary Semantic Segmentation (AVS)}, advancing open-ended image understanding by eliminating the necessity to predefine object categories for segmentation. |
Osman Ülger; Maksymilian Kulicki; Yuki Asano; Martin R. Oswald; | arxiv-cs.CV | 2023-12-07 |
| 561 | LSegDiff: A Latent Diffusion Model for Medical Image Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Initially designed for image generation, diffusion models can also be effectively applied to various tasks, including semantic segmentation. However, most existing diffusion-based … |
Hung Vu Quoc; Thao Tran Le Phuong; Minh Trinh Xuan; Sang Dinh Viet; | Proceedings of the 12th International Symposium on … | 2023-12-07 |
| 562 | DeepPyramid+: Medical Image Segmentation Using Pyramid View Fusion and Deformable Pyramid Reception Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a network architecture, DeepPyramid+, which addresses diverse challenges encountered in medical image and surgical video segmentation. |
Negin Ghamsarian; Sebastian Wolf; Martin Zinkernagel; Klaus Schoeffmann; Raphael Sznitman; | arxiv-cs.CV | 2023-12-06 |
| 563 | Novel Class Discovery Meets Foundation Models for 3D Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The task of Novel Class Discovery (NCD) in semantic segmentation entails training a model able to accurately segment unlabelled (novel) classes, relying on the available supervision from annotated (base) classes. |
Luigi Riz; Cristiano Saltori; Yiming Wang; Elisa Ricci; Fabio Poiesi; | arxiv-cs.CV | 2023-12-06 |
| 564 | Foundation Model Assisted Weakly Supervised Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To this end, we propose a coarse-to-fine framework based on CLIP and SAM for generating high-quality segmentation seeds. |
Xiaobo Yang; Xiaojin Gong; | arxiv-cs.CV | 2023-12-06 |
| 565 | Location-Aware Transformer Network for Few-Shot Medical Image Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Automatic and precise organ segmentation plays a significant role in promoting the development of the diagnosis and treatment of the disease. Despite making enormous strides in … |
Wendong Huang; Bin Xiao; Jinwu Hu; Xiuli Bi; | 2023 IEEE International Conference on Bioinformatics and … | 2023-12-05 |
| 566 | Morphological Guided Causal Constraint Network for Medical Image Multi-Object Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Multi-objective segmentation (MOS) in medical images is to simultaneously extract multiple regions of interest in the medical images. Due to the unbalanced distribution of samples … |
YIFAN GAO et. al. | 2023 IEEE International Conference on Bioinformatics and … | 2023-12-05 |
| 567 | Diff-SFCT: A Diffusion Model with Spatial-Frequency Cross Transformer for Medical Image Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Most existing semantic segmentation methods primarily employ supervised learning with discriminative models. Although these methods are straightforward, they overlook the modeling … |
YUXUAN JIANG et. al. | 2023 IEEE International Conference on Bioinformatics and … | 2023-12-05 |
| 568 | Adaptive Thresholding Based on Multi-task Learning for Refining Binary Medical Image Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Binary medical image segmentation plays a pivotal role in the diagnosis and treatment of a wide range of diseases. However, the performance of the segmentation model is closely … |
Qin Lei; Rongzhen Li; Jiang Zhong; Chen Wang; Qizhu Dai; | 2023 IEEE International Conference on Bioinformatics and … | 2023-12-05 |
| 569 | Segment Anything Model (SAM) for Medical Image Segmentation: A Preliminary Review IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Medical image segmentation is a critical component in a variety of clinical applications, facilitating accurate diagnosis and treatment planning. The Segment Anything Model (SAM), … |
Leying Zhang; Xiaokang Deng; Yu Lu; | 2023 IEEE International Conference on Bioinformatics and … | 2023-12-05 |
| 570 | Semi-MedSeq: Semi-supervised Semantic Segmentation for Medical Image Sequences Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In clinical practice, medical imaging techniques include 2D video-based examinations that capture sequential scans, and 3D volumetric imaging that forms a comprehensive 3D … |
RUNTIAN YUAN et. al. | 2023 IEEE International Conference on Bioinformatics and … | 2023-12-05 |
| 571 | SAM-Assisted Remote Sensing Imagery Semantic Segmentation with Object and Boundary Constraints IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present a streamlined framework aimed at leveraging the raw output of SAM by exploiting two novel concepts called SAM-Generated Object (SGO) and SAM-Generated Boundary (SGB). |
XIANPING MA et. al. | arxiv-cs.CV | 2023-12-04 |
| 572 | SRSNetwork: Siamese Reconstruction-Segmentation Networks Based on Dynamic-Parameter Convolution Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present a high-performance deep neural network for weak target image segmentation, including medical image segmentation and infrared image segmentation. |
BINGKUN NIAN et. al. | arxiv-cs.CV | 2023-12-04 |
| 573 | A Review and A Robust Framework of Data-Efficient 3D Scene Parsing with Traditional/Learned 3D Descriptors Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This work presents a general and simple framework to tackle point cloud understanding when labels are limited. |
Kangcheng Liu; | arxiv-cs.CV | 2023-12-02 |
| 574 | ClothSeg: Semantic Segmentation Network with Feature Projection for Clothing Parsing Related Papers Related Patents Related Grants Related Venues Related Experts View |
GUANGYU TANG et. al. | J. Vis. Commun. Image Represent. | 2023-12-01 |
| 575 | Twin-SegNet: Dynamically Coupled Complementary Segmentation Networks for Generalized Medical Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View |
Shahed Ahmed; Md. Kamrul Hasan; | Comput. Vis. Image Underst. | 2023-12-01 |
| 576 | Semantic Segmentation in Thermal Videos: A New Benchmark and Multi-Granularity Contrastive Learning-Based Framework Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Video semantic segmentation has achieved great success, which is significant for road scene understanding. However, semantic segmentation remains challenging in poor illumination … |
Yu Zheng; F. Zhou; Shangying Liang; Wentao Song; X. Bai; | IEEE Transactions on Intelligent Transportation Systems | 2023-12-01 |
| 577 | Efficient Multimodal Semantic Segmentation Via Dual-Prompt Learning Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Existing approaches often fully fine-tune a dual-branch encoder-decoder framework with a complicated feature fusion strategy for achieving multimodal semantic segmentation, which is training-costly due to the massive parameter updates in feature extraction and fusion. To address this issue, we propose a surprisingly simple yet effective dual-prompt learning network (dubbed DPLNet) for training-efficient multimodal (e.g., RGB-D/T) semantic segmentation. |
SHAOHUA DONG et. al. | arxiv-cs.CV | 2023-12-01 |
| 578 | A Two-step Image Segmentation Based on Clone Selection Multi-object Emperor Penguin Optimizer for Fault Diagnosis of Power Transformer Related Papers Related Patents Related Grants Related Venues Related Experts View |
Zhikai Xing; Yigang He; | Expert Syst. Appl. | 2023-12-01 |
| 579 | CellMixer: Annotation-free Semantic Cell Segmentation of Heterogeneous Cell Populations Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present CellMixer, an innovative annotation-free approach for the semantic segmentation of heterogeneous cell populations. |
MEHDI NAOUAR et. al. | arxiv-cs.CV | 2023-12-01 |
| 580 | 3D Semantic Segmentation of Aerial Photogrammetry Models Based on Orthographic Projection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation of 3D scenes is one of the most important tasks in the field of computer vision and has attracted much attention. In this paper, we propose a novel framework … |
Mengqi Rong; Shuhan Shen; | IEEE Transactions on Circuits and Systems for Video … | 2023-12-01 |
| 581 | Temporal Feature Matching and Propagation for Semantic Segmentation on 3D Point Cloud Sequences Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In real-world LiDAR-based applications, data is generated in the form of 3D point cloud sequences or 4D point clouds. However, the topic of semantic segmentation on 4D point … |
Hanyu Shi; Ruibo Li; Fayao Liu; Guosheng Lin; | IEEE Transactions on Circuits and Systems for Video … | 2023-12-01 |
| 582 | A Lightweight Clustering Framework for Unsupervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We thus propose a lightweight clustering framework for unsupervised semantic segmentation. |
Yau Shing Jonathan Cheung; Xi Chen; Lihe Yang; Hengshuang Zhao; | arxiv-cs.CV | 2023-11-30 |
| 583 | Spherical Frustum Sparse Convolution Network for LiDAR Point Cloud Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To avoid quantized information loss, in this paper, we propose a novel spherical frustum structure. |
Yu Zheng; Guangming Wang; Jiuming Liu; Marc Pollefeys; Hesheng Wang; | arxiv-cs.CV | 2023-11-29 |
| 584 | SAMPro3D: Locating SAM Prompts in 3D for Zero-Shot Scene Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce SAMPro3D for zero-shot 3D indoor scene segmentation. |
MUTIAN XU et. al. | arxiv-cs.CV | 2023-11-29 |
| 585 | Continual Learning for Image Segmentation with Dynamic Query Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a simple, yet effective Continual Image Segmentation method with incremental Dynamic Query (CISDQ), which decouples the representation learning of both old and new knowledge with lightweight query embedding. |
WEIJIA WU et. al. | arxiv-cs.CV | 2023-11-29 |
| 586 | ALSTER: A Local Spatio-Temporal Expert for Online 3D Semantic Reconstruction Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose an online 3D semantic segmentation method that incrementally reconstructs a 3D semantic map from a stream of RGB-D frames. |
SILVAN WEDER et. al. | arxiv-cs.CV | 2023-11-29 |
| 587 | ScribbleGen: Generative Data Augmentation Improves Scribble-supervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose ScribbleGen, a generative data augmentation method that leverages a ControlNet diffusion model conditioned on semantic scribbles to produce high-quality training data. |
Jacob Schnell; Jieke Wang; Lu Qi; Vincent Tao Hu; Meng Tang; | arxiv-cs.CV | 2023-11-28 |
| 588 | Emergent Open-Vocabulary Semantic Segmentation from Off-the-shelf Vision-Language Models Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, leveraging the learned association for open-vocabulary semantic segmentation remains a challenge. In this paper, we propose a simple, yet extremely effective, training-free technique, Plug-and-Play Open-Vocabulary Semantic Segmentation (PnP-OVSS) for this task. |
Jiayun Luo; Siddhesh Khandelwal; Leonid Sigal; Boyang Li; | arxiv-cs.CV | 2023-11-28 |
| 589 | Image Segmentation with Traveling Waves in An Exactly Solvable Recurrent Neural Network Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We show that this network generates sophisticated spatiotemporal dynamics that can effectively divide an image into groups according to a scene’s structural characteristics. Using an exact solution of the recurrent network’s dynamics, we present a precise description of the mechanism underlying object segmentation in this network, providing a clear mathematical interpretation of how the network performs this task. |
LUISA H. B. LIBONI et. al. | arxiv-cs.CV | 2023-11-28 |
| 590 | PiGPDS: Perspective Independent Ground Plane Detection and Segmentation for Complex 3D Indoor Scenes Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Ground plane detection and segmentation techniques can benefit and help improve the accuracy and robustness of a wide range of computer vision applications, from 3D object … |
Ali Ebrahimi; S. Czarnuch; | 2023 International Conference on Digital Image Computing: … | 2023-11-28 |
| 591 | 2D Feature Distillation for Weakly- and Semi-Supervised 3D Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose an image-guidance network (IGNet) which builds upon the idea of distilling high level feature information from a domain adapted synthetically trained 2D semantic segmentation network. |
Ozan Unal; Dengxin Dai; Lukas Hoyer; Yigit Baran Can; Luc Van Gool; | arxiv-cs.CV | 2023-11-27 |
| 592 | FALCON: Fairness Learning Via Contrastive Attention Approach to Continual Semantic Scene Understanding in Open World Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Continual Learning in semantic scene segmentation aims to continually learn new unseen classes in dynamic environments while maintaining previously learned knowledge. Prior … |
Thanh-Dat Truong; Utsav Prabhu; Bhiksha Raj; Jackson Cothren; Khoa Luu; | ArXiv | 2023-11-27 |
| 593 | FALCON: Fairness Learning Via Contrastive Attention Approach to Continual Semantic Scene Understanding Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a novel Fairness Learning via Contrastive Attention Approach to continual learning in semantic scene understanding. |
Thanh-Dat Truong; Utsav Prabhu; Bhiksha Raj; Jackson Cothren; Khoa Luu; | arxiv-cs.CV | 2023-11-27 |
| 594 | Adapter Is All You Need for Tuning Visual Tasks Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To find a competitive alternative to full fine-tuning, we propose the Multi-cognitive Visual Adapter (Mona) tuning, a novel adapter-based tuning method. |
Dongshuo Yin; Leiyi Hu; Bin Li; Youqun Zhang; | arxiv-cs.CV | 2023-11-25 |
| 595 | Segment (Almost) Nothing: Prompt-Agnostic Adversarial Attacks on Segmentation Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose instead to generate prompt-agnostic adversarial attacks by maximizing the $\ell_2$-distance, in the latent space, between the embedding of the original and perturbed images. |
Francesco Croce; Matthias Hein; | arxiv-cs.CV | 2023-11-24 |
| 596 | Language-guided Few-shot Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose an innovative solution to tackle the challenge of few-shot semantic segmentation using only language information, i.e.image-level text labels. |
Jing Wang; Yuang Liu; Qiang Zhou; Fan Wang; | arxiv-cs.CV | 2023-11-23 |
| 597 | Instance-aware 3D Semantic Segmentation Powered By Shape Generators and Classifiers Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we proposed a novel instance-aware approach for 3D semantic segmentation. |
Bo Sun; Qixing Huang; Xiangru Huang; | arxiv-cs.CV | 2023-11-20 |
| 598 | Generalized Category Discovery in Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a straightforward yet effective framework that reinterprets the GCDSS challenge as a task of mask classification. |
ZHENGYUAN PENG et. al. | arxiv-cs.CV | 2023-11-19 |
| 599 | Optimizing Rgb-d Semantic Segmentation Through Multi-modal Interaction and Pooling Attention Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, in indoor environments, the simple input of RGB and depth images often results in a relatively limited acquisition of semantic and spatial information, leading to suboptimal segmentation outcomes. To address this, we propose the Multi-modal Interaction and Pooling Attention Network (MIPANet), a novel approach designed to harness the interactive synergy between RGB and depth modalities, optimizing the utilization of complementary information. |
Shuai Zhang; Minghong Xie; | arxiv-cs.CV | 2023-11-19 |
| 600 | Self-trained Panoptic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The aim of this work is to develop a framework to perform embedding-based self-supervised panoptic segmentation using self-training in a synthetic-to-real domain adaptation problem setting. |
Shourya Verma; | arxiv-cs.CV | 2023-11-17 |
| 601 | Labeling Indoor Scenes with Fusion of Out-of-the-Box Perception Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We aim to develop a cost-effective labeling approach to obtain pseudo-labels for semantic segmentation and object instance detection in indoor environments, with the ultimate goal of facilitating the training of lightweight models for various downstream tasks. |
Yimeng Li; Navid Rajabi; Sulabh Shrestha; Md Alimoor Reza; Jana Kosecka; | arxiv-cs.CV | 2023-11-17 |
| 602 | Remote Sensing Image Semantic Segmentation Method Based on A Deep Convolutional Neural Network and Multiscale Feature Fusion Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: There are many problems with remote sensing images, such as large data scales, complex illumination conditions, occlusion, and dense targets. The existing semantic segmentation … |
Guangzhen Zhang; Wangyang Jiang; | Int. J. Semantic Web Inf. Syst. | 2023-11-16 |
| 603 | 3DFusion, A Real-time 3D Object Reconstruction Pipeline Based on Streamed Instance Segmented Data Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To achieve real-time performance, the paper proposes a method that effectively samples consecutive frames to reduce network load while ensuring reconstruction quality. |
Xi Sun; Derek Jacoby; Yvonne Coady; | arxiv-cs.CV | 2023-11-11 |
| 604 | MeshNet-SP: A Semantic Urban 3D Mesh Segmentation Network with Sparse Prior Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: A textured urban 3D mesh is an important part of 3D real scene technology. Semantically segmenting an urban 3D mesh is a key task in the photogrammetry and remote sensing field. … |
Guangyun Zhang; Rongting Zhang; | Remote. Sens. | 2023-11-11 |
| 605 | FDNet: Feature Decoupled Segmentation Network for Tooth CBCT Image Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose FDNet, a Feature Decoupled Segmentation Network, to excel in the face of the variable dental conditions encountered in CBCT scans, such as complex artifacts and indistinct tooth boundaries. |
XIANG FENG et. al. | arxiv-cs.CV | 2023-11-11 |
| 606 | U3DS3: Unsupervised 3D Semantic Scene Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Contemporary point cloud segmentation approaches largely rely on richly annotated 3D training data. However, it is both time-consuming and challenging to obtain consistently … |
Jiaxu Liu; Zhengdi Yu; T. Breckon; Hubert P. H. Shum; | 2024 IEEE/CVF Winter Conference on Applications of Computer … | 2023-11-10 |
| 607 | U3DS$^3$: Unsupervised 3D Semantic Scene Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents U3DS$^3$, as a step towards completely unsupervised point cloud segmentation for any holistic 3D scenes. |
Jiaxu Liu; Zhengdi Yu; Toby P. Breckon; Hubert P. H. Shum; | arxiv-cs.CV | 2023-11-10 |
| 608 | Lidar Annotation Is All You Need Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: The work described in this paper aims to improve the efficiency of image segmentation using a convolutional neural network in a multi-sensor setup. |
Dinar Sharafutdinov; Stanislav Kuskov; Saian Protasov; Alexey Voropaev; | arxiv-cs.CV | 2023-11-08 |
| 609 | Pelvic Floor MRI Segmentation Based on Semi-supervised Deep Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Insufficient segmentation labels limit the precise segmentation and reconstruction of pelvic floor organs. To address these issues, we propose a semi-supervised framework for pelvic organ segmentation. |
JIANWEI ZUO et. al. | arxiv-cs.CV | 2023-11-06 |
| 610 | PointNAC: Copula-Based Point Cloud Semantic Segmentation Network Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Three-dimensional point cloud data generally contain complex scene information and diversified category structures. Existing point cloud semantic segmentation networks tend to … |
CHUNYUAN DENG et. al. | Symmetry | 2023-11-06 |
| 611 | PotholeGuard: A Pothole Detection Approach By Point Cloud Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our research presents an innovative point cloud-based pothole segmentation architecture. |
SAHIL NAWALE et. al. | arxiv-cs.CV | 2023-11-05 |
| 612 | ISAR: A Benchmark for Single- and Few-Shot Object Instance Segmentation and Re-Identification Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: So far there is neither a method fulfilling all of these requirements in unison nor a benchmark that could be used to test such a method. Addressing this, we propose ISAR, a benchmark and baseline method for single- and few-shot object Instance Segmentation And Re-identification, in an effort to accelerate the development of algorithms that can robustly detect, segment, and re-identify objects from a single or a few sparse training examples. |
Nicolas Gorlo; Kenneth Blomqvist; Francesco Milano; Roland Siegwart; | arxiv-cs.CV | 2023-11-05 |
| 613 | MemorySeg: Online LiDAR Semantic Segmentation with A Latent Memory Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we tackle the challenge of exploiting the information from the past frames to improve the predictions of the current frame in an online fashion. |
Enxu Li; Sergio Casas; Raquel Urtasun; | arxiv-cs.CV | 2023-11-02 |
| 614 | Real-time Semantic Segmentation in Traffic Scene Using Cross Stage Partial-based Encoder-decoder Network Related Papers Related Patents Related Grants Related Venues Related Experts View |
Liguo Zhou; Guang Chen; Lian Liu; Ruining Wang; Alois Knoll; | Eng. Appl. Artif. Intell. | 2023-11-01 |
| 615 | FastICENet: A Real-time and Accurate Semantic Segmentation Model for Aerial Remote Sensing River Ice Image Related Papers Related Patents Related Grants Related Venues Related Experts View |
XIUWEI ZHANG et. al. | Signal Process. | 2023-11-01 |
| 616 | Joint Depth Prediction and Semantic Segmentation with Multi-View SAM Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: With this work we propose a Multi-View Stereo (MVS) technique for depth prediction that benefits from rich semantic features of the Segment Anything Model (SAM). |
Mykhailo Shvets; Dongxu Zhao; Marc Niethammer; Roni Sengupta; Alexander C. Berg; | arxiv-cs.CV | 2023-10-31 |
| 617 | SACuP: Sonar Image Augmentation with Cut and Paste Based DataBank for Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper, we introduce Sonar image Augmentation with Cut and Paste based DataBank for semantic segmentation (SACuP), a novel data augmentation framework specifically designed … |
Sundong Park; Yoonyoung Choi; Hyoseok Hwang; | Remote. Sens. | 2023-10-31 |
| 618 | MMGLOTS: Multi-Modal Global-Local Transformer Segmentor for Remote Sensing Image Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Multi-modal semantic segmentation of remote sensing (RS) images is a challenging task due to the complex relationship between different modalities and the large intra-class … |
Yuheng Liu; Ye Wang; Yifan Zhang; Shaohui Mei; | 2023 13th Workshop on Hyperspectral Imaging and Signal … | 2023-10-31 |
| 619 | Train One, Generalize to All: Generalizable Semantic Segmentation from Single-Scene to All Adverse Scenes Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Unsupervised Domain Adaptation (UDA) for semantic segmentation has received widespread attention for its ability to transfer knowledge from the source to target domains without a … |
ZIYANG GONG et. al. | Proceedings of the 31st ACM International Conference on … | 2023-10-26 |
| 620 | SmooSeg: Smoothness Prior for Unsupervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we demonstrate that the smoothness prior, asserting that close features in a metric space share the same semantics, can significantly simplify segmentation by casting unsupervised semantic segmentation as an energy minimization problem. Under this paradigm, we propose a novel approach called SmooSeg that harnesses self-supervised learning methods to model the closeness relationships among observations as smoothness signals. |
MENGCHENG LAN et. al. | arxiv-cs.CV | 2023-10-26 |
| 621 | Characters Link Shots: Character Attention Network for Movie Scene Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Movie scene segmentation aims to automatically segment a movie into multiple story units, i.e., scenes, each of which is a series of semantically coherent and time-continual … |
Jiawei Tan; Hongxing Wang; Junsong Yuan; | ACM Transactions on Multimedia Computing, Communications … | 2023-10-26 |
| 622 | 4D-Editor: Interactive Object-level Editing in Dynamic Neural Radiance Fields Via 4D Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper targets interactive object-level editing(e.g., deletion, recoloring, transformation, composition) in dynamic scenes. Recently, some methods aiming for flexible editing … |
Dadong Jiang; Zhihui Ke; Xiaobo Zhou; Xidong Shi; | ArXiv | 2023-10-25 |
| 623 | Segmentation of Retinal Images Using Improved Segmentation Network, MesU-Net Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Given the immense importance of medical image segmentation and the challenges associated with manual execution, a diverse range of automated medical image segmentation methods … |
Anitha T. Nair; A. M L; Arun Kumar M. N.; | Int. J. Online Biomed. Eng. | 2023-10-25 |
| 624 | SAMRS: Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this study, we leverage SAM and existing RS object detection datasets to develop an efficient pipeline for generating a large-scale RS segmentation dataset, dubbed SAMRS. |
DI WANG et. al. | nips | 2023-10-24 |
| 625 | ClusterFomer: Clustering As A Universal Visual Learner IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper presents ClusterFormer, a universal vision model that is based on the Clustering paradigm with TransFormer. |
JAMES LIANG et. al. | nips | 2023-10-24 |
| 626 | Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose $\texttt{ARCO}$, a semi-supervised contrastive learning (CL) framework with stratified group theory for medical image segmentation. |
CHENYU YOU et. al. | nips | 2023-10-24 |
| 627 | Label-efficient Segmentation Via Affinity Propagation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we formulate the affinity modeling task as an affinity propagation process, and consequently propose both local and global pairwise affinity terms to generate accurate soft pseudo labels. |
WENTONG LI et. al. | nips | 2023-10-24 |
| 628 | GNeSF: Generalizable Neural Semantic Fields Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, existing approaches still requires expensive per-scene optimization that prohibits generalization to novel scenes during inference. To circumvent this problem, we introduce a generalizable 3D segmentation framework based on implicit representation. |
Hanlin Chen; Chen Li; Mengqi Guo; Zhiwen Yan; Gim Hee Lee; | arxiv-cs.CV | 2023-10-24 |
| 629 | OV-PARTS: Towards Open-Vocabulary Part Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Furthermore, the large-scale vision and language models, which play a key role in the open vocabulary setting, struggle to recognize parts as effectively as objects. To comprehensively investigate and tackle these challenges, we propose an Open-Vocabulary Part Segmentation (OV-PARTS) benchmark. |
MENG WEI et. al. | nips | 2023-10-24 |
| 630 | Uncertainty Estimation for Safety-critical Scene Segmentation Via Fine-grained Reward Maximization Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose a novel fine-grained reward maximization (FGRM) framework, to address uncertainty estimation by directly utilizing an uncertainty metric related reward function with a reinforcement learning based model tuning paradigm. |
Hongzheng Yang; Cheng Chen; Yueyao CHEN; Hon Chi Yip; DOU QI; | nips | 2023-10-24 |
| 631 | AIMS: All-Inclusive Multi-Level Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a new task, All-Inclusive Multi-Level Segmentation (AIMS), which segments visual regions into three levels: part, entity, and relation (two entities with some semantic relationships). |
LU QI et. al. | nips | 2023-10-24 |
| 632 | Bridging Semantic Gaps for Language-Supervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Such semantic misalignment circulates in pre-training, leading to inferior zero-shot performance in dense predictions due to insufficient visual concepts captured in textual representations. To close such semantic gap, we propose Concept Curation (CoCu), a pipeline that leverages CLIP to compensate for the missing semantics. |
YUN XING et. al. | nips | 2023-10-24 |
| 633 | Fairness Continual Learning Approach to Semantic Scene Understanding in Open-World Environments IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a novel Fairness Continual Learning approach to the semantic segmentation problem. |
Thanh-Dat Truong; Hoang-Quan Nguyen; Bhiksha Raj; Khoa Luu; | nips | 2023-10-24 |
| 634 | CPSeg: Finer-grained Image Semantic Segmentation Via Chain-of-Thought Language Prompting IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Natural scene analysis and remote sensing imagery offer immense potential for advancements in large-scale language-guided context-aware data utilization. This potential is … |
Lei Li; | 2024 IEEE/CVF Winter Conference on Applications of Computer … | 2023-10-24 |
| 635 | Bridging The Domain Gap: Self-Supervised 3D Scene Understanding with Foundation Models IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, their potential to enrich 3D scene representation learning is largely untapped due to the existence of the domain gap. In this work, we propose an innovative methodology called Bridge3D to address this gap by pre-training 3D models using features, semantic masks, and captions sourced from foundation models. |
Zhimin Chen; Bing Li; | nips | 2023-10-24 |
| 636 | Open Compound Domain Adaptation with Object Style Compensation for Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes the Object Style Compensation, where we construct the Object-Level Discrepancy Memory with multiple sets of discrepancy features. |
TINGLIANG FENG et. al. | nips | 2023-10-24 |
| 637 | Segment Everything Everywhere All at Once IF:6 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we present SEEM, a promotable and interactive model for segmenting everything everywhere all at once in an image. |
XUEYAN ZOU et. al. | nips | 2023-10-24 |
| 638 | Augmentation-free Dense Contrastive Distillation for Efficient Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Existing methods heavily rely on data augmentation and memory buffer, which entail high computational resource demands when applying them to handle semantic segmentation that requires to preserve high-resolution feature maps for making dense pixel-wise predications. In order to alleviate this problem, we present Augmentation-free Dense Contrastive Knowledge Distillation (Af-DCD), a new contrastive distillation learning paradigm to train compact and accurate deep neural networks for semantic segmentation applications. |
Jiawei Fan; Chao Li; Xiaolong Liu; Meina Song; Anbang Yao; | nips | 2023-10-24 |
| 639 | Pixel-Level Clustering Network for Unsupervised Image Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a pixel-level clustering framework for segmenting images into regions without using ground truth annotations. |
Cuong Manh Hoang; Byeongkeun Kang; | arxiv-cs.CV | 2023-10-24 |
| 640 | OpenMask3D: Open-Vocabulary 3D Instance Segmentation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: While such a representation can be directly employed to perform semantic segmentation, existing methods have limitations in their ability to handle object instances. In this work, we address this limitation, and propose OpenMask3D, which is a zero-shot approach for open-vocabulary 3D instance segmentation. |
AYCA TAKMAZ et. al. | nips | 2023-10-24 |
| 641 | SOC: Semantic-Assisted Object Cluster for Referring Video Object Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, the lack of a global view of video content leads to difficulties in effectively utilizing inter-frame relationships and understanding textual descriptions of object temporal variations. To address this issue, we propose Semantic-assisted Object Cluster (SOC), which aggregates video content and textual guidance for unified temporal modeling and cross-modal alignment. |
ZHUOYAN LUO et. al. | nips | 2023-10-24 |
| 642 | Weakly-Supervised Concealed Object Segmentation with SAM-based Pseudo Labeling and Multi-scale Feature Grouping IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: It remains a challenging task since (1) it is hard to distinguish concealed objects from the background due to the intrinsic similarity and (2) the sparsely-annotated training data only provide weak supervision for model learning. In this paper, we propose a new WSCOS method to address these two challenges. |
CHUNMING HE et. al. | nips | 2023-10-24 |
| 643 | P2AT: Pyramid Pooling Axial Transformer for Real-time Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a real-time semantic segmentation architecture named Pyramid Pooling Axial Transformer (P2AT). |
Mohammed A. M. Elhassan; Changjun Zhou; Amina Benabid; Abuzar B. M. Adam; | arxiv-cs.CV | 2023-10-23 |
| 644 | RT-YOSO: Revisiting YOSO for Real-time Panoptic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Panoptic segmentation, a crucial computer vision task for scene understanding, simultaneously combines semantic segmentation and instance segmentation to classify pixels and … |
Abdallah Ammar; Mahmoud I. Khalil; Cherif R. Salama; | 2023 5th Novel Intelligent and Leading Emerging Sciences … | 2023-10-21 |
| 645 | Weakly-Supervised Semantic Segmentation with Image-Level Labels: from Traditional Models to Foundation Models Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We scrutinize SAM in two intriguing scenarios: text prompting and zero-shot learning. We provide insights into the potential and challenges of deploying visual foundational models for WSSS, facilitating future developments in this exciting research area. |
Zhaozheng Chen; Qianru Sun; | arxiv-cs.CV | 2023-10-19 |
| 646 | Lidar Panoptic Segmentation and Tracking Without Bells and Whistles Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we re-think this approach and propose a surprisingly simple yet effective detection-centric network for both LPS and tracking. |
ABHINAV AGARWALLA et. al. | arxiv-cs.CV | 2023-10-19 |
| 647 | Minimalist and High-Performance Semantic Segmentation with Plain Vision Transformers Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: As a result, we introduce the PlainSeg, a model comprising only three 3$\times$3 convolutions in addition to the transformer layers (either encoder or decoder). |
Yuanduo Hong; Jue Wang; Weichao Sun; Huihui Pan; | arxiv-cs.CV | 2023-10-19 |
| 648 | SegmATRon: Embodied Adaptive Semantic Segmentation for Indoor Environment Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper presents an adaptive transformer model named SegmATRon for embodied image semantic segmentation. |
Tatiana Zemskova; Margarita Kichik; Dmitry Yudin; Aleksei Staroverov; Aleksandr Panov; | arxiv-cs.CV | 2023-10-18 |
| 649 | Loci-Segmented: Improving Scene Segmentation Learning Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Current slot-oriented approaches for compositional scene segmentation from images and videos rely on provided background information or slot assignments. We present a segmented location and identity tracking system, Loci-Segmented (Loci-s), which does not require either of this information. |
Manuel Traub; Frederic Becker; Adrian Sauter; Sebastian Otte; Martin V. Butz; | arxiv-cs.CV | 2023-10-16 |
| 650 | Volumetric Medical Image Segmentation Via Scribble Annotations and Shape Priors Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Furthermore, most current methods are designed for 2D image segmentation, which do not fully leverage the volumetric information if directly applied to each image slice. In this paper, we propose a scribble-based volumetric image segmentation, Scribble2D5, which tackles 3D anisotropic image segmentation and aims to its improve boundary prediction. |
Qiuhui Chen; Haiying Lyu; Xinyue Hu; Yong Lu; Yi Hong; | arxiv-cs.CV | 2023-10-12 |
| 651 | Detection and Mapping of Chestnut Using Deep Learning from High-Resolution UAV-Based RGB Imagery Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The semantic segmentation method based on high-resolution RGB images obtained by unmanned aerial vehicle (UAV) provides a cost-effective way to improve the accuracy of detection … |
Yifei Sun; Zhenbang Hao; Zhanbao Guo; Zhenhu Liu; Jiaxing Huang; | Remote. Sens. | 2023-10-12 |
| 652 | S4C: Self-Supervised Semantic Scene Completion with Neural Fields IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This process relies on special sensors and annotation by hand which are costly and do not scale well. To overcome this issue, our work presents the first self-supervised approach to SSC called S4C that does not rely on 3D ground truth data. |
Adrian Hayler; Felix Wimbauer; Dominik Muhle; Christian Rupprecht; Daniel Cremers; | arxiv-cs.CV | 2023-10-11 |
| 653 | A LiDAR Semantic Segmentation Framework for The Cooperative Vehicle-Infrastructure System Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: LiDAR semantic segmentation plays an important role in 3D scene understanding for autonomous driving. However, the performance based on the LiDAR equipped on a vehicle may be … |
Hongwei Liu; Zihao Gu; Chao Wang; Ping Wang; D. Vukobratović; | 2023 IEEE 98th Vehicular Technology Conference … | 2023-10-10 |
| 654 | Zero-Shot Open-Vocabulary Tracking with Large Pre-Trained Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we re-purpose an open-vocabulary detector, segmenter, and dense optical flow estimator, into a model that tracks and segments objects of any category in 2D videos. |
WEN-HSUAN CHU et. al. | arxiv-cs.CV | 2023-10-10 |
| 655 | Densely Connected Swin-UNet for Multiscale Information Aggregation in Medical Image Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image semantic segmentation is a dense prediction task in computer vision that is dominated by deep learning techniques in recent years. UNet, which is a symmetric encoder-decoder … |
Ziyang Wang; Meiwen Su; Jian-Qing Zheng; Yang Liu; | 2023 IEEE International Conference on Image Processing … | 2023-10-08 |
| 656 | Structure-Preserving Instance Segmentation Via Skeleton-Aware Distance Transform Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: While the distance transform (DT) makes instance interiors and boundaries more distinguishable, it tends to overlook the intra-object connectivity for instances with varying width and result in over-segmentation. To address these challenges, we propose a skeleton-aware distance transform (SDT) that combines the merits of object skeleton in preserving connectivity and DT in modeling geometric arrangement to represent instances with arbitrary structures. |
ZUDI LIN et. al. | arxiv-cs.CV | 2023-10-08 |
| 657 | Geometry Aware Field-to-field Transformations for 3D Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a novel approach to perform 3D semantic segmentation solely from 2D supervision by leveraging Neural Radiance Fields (NeRFs). |
Dominik Hollidt; Clinton Wang; Polina Golland; Marc Pollefeys; | arxiv-cs.CV | 2023-10-08 |
| 658 | Towards Dynamic and Small Objects Refinement for Unsupervised Domain Adaptative Nighttime Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes a novel UDA method that refines both label and feature levels for dynamic and small objects for nighttime semantic segmentation. |
Jingyi Pan; Sihang Li; Yucheng Chen; Jinjing Zhu; Lin Wang; | arxiv-cs.CV | 2023-10-07 |
| 659 | A Deeply Supervised Semantic Segmentation Method Based on GAN Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, we propose an improved semantic segmentation model that combines the strengths of adversarial learning with state-of-the-art semantic segmentation techniques. |
Wei Zhao; Qiyu Wei; Zeng Zeng; | arxiv-cs.CV | 2023-10-06 |
| 660 | DiffPrompter: Differentiable Implicit Visual Prompts for Semantic-Segmentation in Adverse Conditions Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce DiffPrompter, a novel differentiable visual and latent prompting mechanism aimed at expanding the learning capabilities of existing adaptors in foundation models. |
SANKET KALWAR et. al. | arxiv-cs.CV | 2023-10-06 |
| 661 | Ablation Study to Clarify The Mechanism of Object Segmentation in Multi-Object Representation Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Multi-object representation learning aims to represent complex real-world visual input using the composition of multiple objects. Representation learning methods have often used unsupervised learning to segment an input image into individual objects and encode these objects into each latent vector. |
Takayuki Komatsu; Yoshiyuki Ohmura; Yasuo Kuniyoshi; | arxiv-cs.CV | 2023-10-04 |
| 662 | Improved Approach for Semantic Segmentation of MBRSC Aerial Imagery Based on Transfer Learning and Modified UNet Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Aerial imagery has emerged in numerous fields such as sustainable development, forestry, urban planning, agriculture, earth science and climate research. Extracting relevant … |
Khawla Ben Salah; Mohamed Othmani; Selma Saida; M. Kherallah; | 2023 International Conference on Cyberworlds (CW) | 2023-10-03 |
| 663 | TransRadar: Adaptive-Directional Transformer for Real-Time Multi-View Radar Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose a novel approach to the semantic segmentation of radar scenes using a multi-input fusion of radar data through a novel architecture and loss functions that are tailored to tackle the drawbacks of radar perception. |
Yahia Dalbah; Jean Lahoud; Hisham Cholakkal; | arxiv-cs.CV | 2023-10-03 |
| 664 | CLIP Is Also A Good Teacher: A New Learning Framework for Inductive Zero-shot Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Consequently, we propose CLIP-ZSS (Zero-shot Semantic Segmentation), a simple but effective training framework that enables any image encoder designed for closed-set segmentation applied in zero-shot and open-vocabulary tasks in testing without combining with VLMs or inserting new modules. |
Jialei Chen; Daisuke Deguchi; Chenkai Zhang; Xu Zheng; Hiroshi Murase; | arxiv-cs.CV | 2023-10-03 |
| 665 | STARS: Zero-shot Sim-to-Real Transfer for Segmentation of Shipwrecks in Sonar Imagery Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we address the problem of sim-to-real transfer for object segmentation when there is no access to real examples of an object of interest during training, i.e. zero-shot sim-to-real transfer for segmentation. |
Advaith Venkatramanan Sethuraman; Katherine A. Skinner; | arxiv-cs.CV | 2023-10-02 |
| 666 | Semantically Enhanced Scene Captions with Physical and Weather Condition Changes Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Vision-Language models (VLMs), i.e., image-text pairs of CLIP, have boosted image-based Deep Learning (DL). Moreover, Visual-Question-Answer (VQA) tools and open-vocabulary … |
Hidetomo Sakaino; | 2023 IEEE/CVF International Conference on Computer Vision … | 2023-10-02 |
| 667 | Semantic Motif Segmentation of Archaeological Fresco Fragments Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Archaeological fragment processing is crucial to support the analysis of pictorial contents of broken artifacts. In this paper, we focus on the unexplored task of semantic … |
Aref Enayati; Luca Palmieri; S. Vascon; M. Pelillo; Sinem Aslan; | 2023 IEEE/CVF International Conference on Computer Vision … | 2023-10-02 |
| 668 | Lightweight Semantic Segmentation Network for Semantic Scene Understanding on Low-Compute Devices Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic scene understanding is beneficial for mobile robots. Semantic information obtained through onboard cameras can improve robots’ navigation performance. However, obtaining … |
H. Son; James Weiland; | 2023 IEEE/RSJ International Conference on Intelligent … | 2023-10-01 |
| 669 | Elastic Interaction Energy-Informed Real-Time Traffic Scene Perception Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, a simple and efficient topology-aware energy loss function-based network training strategy named EIEGSeg is proposed. |
Yaxin Feng; Yuan Lan; Luchan Zhang; Guoqing Liu; Yang Xiang; | arxiv-cs.CV | 2023-10-01 |
| 670 | CompUDA: Compositional Unsupervised Domain Adaptation for Semantic Segmentation Under Adverse Conditions Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In autonomous driving, performing robust semantic segmentation under adverse weather conditions is a long-standing challenge. Imperfect camera observations under adverse … |
Ziqiang Zhengl; Yingshu Chen; Binh-Son Hua; Sai-Kit Yeung; | 2023 IEEE/RSJ International Conference on Intelligent … | 2023-10-01 |
| 671 | LiDAR-SGMOS: Semantics-Guided Moving Object Segmentation with 3D LiDAR Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Most of the existing moving object segmentation (MOS) methods regard MOS as an independent task, in this paper, we associate the MOS task with semantic segmentation, and propose a … |
Shuo Gu; Suling Yao; Jian Yang; Chengzhong Xu; Hui Kong; | 2023 IEEE/RSJ International Conference on Intelligent … | 2023-10-01 |
| 672 | Propagating Semantic Labels in Video Data Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This work presents a method for performing segmentation for objects in video. |
David Balaban; Justin Medich; Pranay Gosar; Justin Hart; | arxiv-cs.CV | 2023-10-01 |
| 673 | TROSD: A New RGB-D Dataset for Transparent and Reflective Object Segmentation in Practice Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Transparent and reflective objects are omnipresent in our daily life, but their unique visual and optical characteristics are notoriously challenging even for state-of-the-art … |
Tianyu Sun; Guodong Zhang; Wenming Yang; Jing-Hao Xue; Guijin Wang; | IEEE Transactions on Circuits and Systems for Video … | 2023-10-01 |
| 674 | Polarimetric Synthetic Aperture Radar Image Semantic Segmentation Network with Lovász-Softmax Loss Optimization Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The deep learning technique has already been successfully applied in the field of microwave remote sensing. Especially, convolutional neural networks have demonstrated remarkable … |
Rui Guo; Xiaopeng Zhao; Guanzhong Zuo; Ying Wang; Yi Liang; | Remote. Sens. | 2023-10-01 |
| 675 | Large-scale Apple Orchard Mapping from Multi-source Data Using The Semantic Segmentation Model with Image- To- Image Translation and Transfer Learning Related Papers Related Patents Related Grants Related Venues Related Experts View |
TINGTING ZHANG et. al. | Comput. Electron. Agric. | 2023-10-01 |
| 676 | Generalized Few-shot Semantic Segmentation for LiDAR Point Clouds Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation of LiDAR point clouds can provide assistance for precise perception in autonomous driving, but traditional segmentation methods face challenges such as … |
Pengze Wu; Jilin Mei; Xijun Zhao; Yu Hu; | 2023 IEEE/RSJ International Conference on Intelligent … | 2023-10-01 |
| 677 | Uncertainty-Aware Deep Learning for Segmenting Ultrasound Images of Breast Tumours Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Precise image segmentation is one of the dominant factors in disease diagnosis. A typical application is the segmentation of breast ultrasound images, allowing radiologists to … |
AFSANA AHMED MUNIA et. al. | 2023 IEEE International Conference on Systems, Man, and … | 2023-10-01 |
| 678 | Few-Shot Segmentation and Semantic Segmentation for Underwater Imagery Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper tackles image segmentation problems for underwater environments. First, we introduce a novel under-water animal-centric dataset with dense pixel-level annotations … |
IMRAN KABIR et. al. | 2023 IEEE/RSJ International Conference on Intelligent … | 2023-10-01 |
| 679 | Knowledge Distillation for Efficient Panoptic Semantic Segmentation: Applied to Agriculture Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Panoptic segmentation provides both holistic and detailed image parsing information at both the pixel and the instance level. However, the computational burdens restrict its … |
Maohui Li; Michael Halstead; Chris McCool; | 2023 IEEE/RSJ International Conference on Intelligent … | 2023-10-01 |
| 680 | An Easy Zero-shot Learning Combination: Texture Sensitive Semantic Segmentation IceHrNet and Advanced Style Transfer Learning Strategy Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We proposed an easy method of Zero-Shot semantic segmentation by using style transfer. |
ZHIYONG YANG et. al. | arxiv-cs.CV | 2023-09-30 |
| 681 | Dual-Augmented Transformer Network for Weakly Supervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we explore the dual-augmented transformer network with self-regularization constraints for WSSS. |
Jingliang Deng; Zonghan Li; | arxiv-cs.CV | 2023-09-30 |
| 682 | SegRCDB: Semantic Segmentation Via Formula-Driven Supervised Learning Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose the Segmentation Radial Contour DataBase (SegRCDB), which for the first time applies formula-driven supervised learning for semantic segmentation. |
RISA SHINODA et. al. | arxiv-cs.CV | 2023-09-29 |
| 683 | Model2Scene: Learning 3D Scene Representation Via Contrastive Language-CAD Models Pre-training Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose Model2Scene, a novel paradigm that learns free 3D scene representation from Computer-Aided Design (CAD) models and languages. |
RUNNAN CHEN et. al. | arxiv-cs.CV | 2023-09-28 |
| 684 | COMNet: Co-Occurrent Matching for Weakly Supervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel Co-Occurrent Matching Network (COMNet), which can promote the quality of the CAMs and enforce the network to pay attention to the entire parts of objects. |
Yukun Su; Jingliang Deng; Zonghan Li; | arxiv-cs.CV | 2023-09-28 |
| 685 | Perceptual Cue-guided Adaptive Image Downscaling for Enhanced Semantic Segmentation on Large Document Images Related Papers Related Patents Related Grants Related Venues Related Experts View |
Chulwoo Pack; Leen-Kiat Soh; Elizabeth M. Lorang; | Int. J. Document Anal. Recognit. | 2023-09-28 |
| 686 | Multi-Object Discovery By Low-Dimensional Object Motion Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose to model pixel-wise geometry and object motion to remove ambiguity in reconstructing flow from a single image. |
Sadra Safadoust; Fatma Güney; | iccv | 2023-09-27 |
| 687 | SATR: Zero-Shot Semantic Segmentation of 3D Shapes IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We explore the task of zero-shot semantic segmentation of 3D shapes by using large-scale off-the-shelf 2D im- age recognition models. |
Ahmed Abdelreheem; Ivan Skorokhodov; Maks Ovsjanikov; Peter Wonka; | iccv | 2023-09-27 |
| 688 | Unsupervised Video Object Segmentation with Online Adversarial Self-Tuning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose to perform online fine-tuning on the pre-trained segmentation model to adapt to any ad-hoc videos at the test time. |
Tiankang Su; Huihui Song; Dong Liu; Bo Liu; Qingshan Liu; | iccv | 2023-09-27 |
| 689 | Class-incremental Continual Learning for Instance Segmentation with Image-level Weak Supervision Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a continual-learning method to segment object instances from image-level labels. |
YU-HSING HSIEH et. al. | iccv | 2023-09-27 |
| 690 | High Quality Entity Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Given the high-quality and -resolution nature of the dataset, we propose CropFormer which is designed to tackle the intractability of instance-level segmentation on high-resolution images. |
LU QI et. al. | iccv | 2023-09-27 |
| 691 | Segment Every Reference Object in Spatial and Temporal Spaces IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we end the current fragmented situation and propose UniRef to unify the three reference-based object segmentation tasks with a single architecture. |
JIANNAN WU et. al. | iccv | 2023-09-27 |
| 692 | Coarse-to-Fine Amodal Segmentation with Shape Prior IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Amodal object segmentation is a challenging task that involves segmenting both visible and occluded parts of an object. In this paper, we propose a novel approach, called Coarse-to-Fine Segmentation (C2F-Seg), that addresses this problem by progressively modeling the amodal segmentation. |
JIANXIONG GAO et. al. | iccv | 2023-09-27 |
| 693 | CPCM: Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a simple yet effective Contextual Point Cloud Modeling (CPCM) method that consists of two parts: a region-wise masking (RegionMask) strategy and a contextual masked training (CMT) method. |
LIZHAO LIU et. al. | iccv | 2023-09-27 |
| 694 | Towards Content-based Pixel Retrieval in Revisited Oxford and Paris Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper introduces the first two landmark pixel retrieval benchmarks. |
GUOYUAN AN et. al. | iccv | 2023-09-27 |
| 695 | Exploring Open-Vocabulary Semantic Segmentation from CLIP Vision Encoder Distillation Only IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, existing approaches often rely on expensive human annotations as supervision for model training, limiting their scalability to large, unlabeled datasets. To address this challenge, we present ZeroSeg, a novel method that leverages the existing pretrained vision-language (VL) model (e.g. CLIP vision encoder) to train open-vocabulary zero-shot semantic segmentation models. |
JUN CHEN et. al. | iccv | 2023-09-27 |
| 696 | Parametric Depth Based Feature Representation Learning for Object Detection and Segmentation in Bird’s-Eye View Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In contrast, we propose to use parametric depth distribution modeling for feature transformation. |
Jiayu Yang; Enze Xie; Miaomiao Liu; Jose M. Alvarez; | iccv | 2023-09-27 |
| 697 | Re:PolyWorld – A Graph Neural Network for Polygonal Scene Parsing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The objective of this work was to overcome weaknesses and shortcomings of the original model, as well as introducing an improved polygonal representation to obtain a general-purpose method for polygon extraction in images. |
Stefano Zorzi; Friedrich Fraundorfer; | iccv | 2023-09-27 |
| 698 | CMDA: Cross-Modality Domain Adaptation for Nighttime Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To this end, we propose a novel unsupervised Cross-Modality Domain Adaptation (CMDA) framework to leverage multi-modality (Images and Events) information for nighttime semantic segmentation, with only labels on daytime images. |
RUIHAO XIA et. al. | iccv | 2023-09-27 |
| 699 | Stochastic Segmentation with Conditional Categorical Diffusion Models IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this context, stochastic semantic segmentation methods must learn to predict conditional distributions of labels given the image, but this is challenging due to the typically multimodal distributions, high-dimensional output spaces, and limited annotation data. To address these challenges, we propose a conditional categorical diffusion model (CCDM) for semantic segmentation based on Denoising Diffusion Probabilistic Models. |
LUKAS ZBINDEN et. al. | iccv | 2023-09-27 |
| 700 | Weakly Supervised Referring Image Segmentation with Intra-Chunk and Inter-Chunk Consistency Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a weakly supervised learning method for RIS that only uses readily available image-text pairs. |
JUNGBEOM LEE et. al. | iccv | 2023-09-27 |
| 701 | SegGPT: Towards Segmenting Everything in Context IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present SegGPT, a generalist model for segmenting everything in context. |
XINLONG WANG et. al. | iccv | 2023-09-27 |
| 702 | Domain Generalization of 3D Semantic Segmentation in Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Despite its importance, domain generalization is relatively unexplored in the case of 3D autonomous driving semantic segmentation. To fill this gap, this paper presents the first benchmark for this application by testing state-of-the-art methods and discussing the difficulty of tackling Laser Imaging Detection and Ranging (LiDAR) domain shifts. |
Jules Sanchez; Jean-Emmanuel Deschaud; François Goulette; | iccv | 2023-09-27 |
| 703 | Learning Cross-Modal Affinity for Referring Video Object Segmentation Targeting Limited Samples Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, in more realistic scenarios, only minimal annotations are available for a new scene, which poses significant challenges to existing RVOS methods. With this in mind, we propose a simple yet effective model with a newly designed cross-modal affinity (CMA) module based on a Transformer architecture. |
Guanghui Li; Mingqi Gao; Heng Liu; Xiantong Zhen; Feng Zheng; | iccv | 2023-09-27 |
| 704 | Instance Neural Radiance Field IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper presents one of the first learning-based NeRF 3D instance segmentation pipelines, dubbed as Instance Neural Radiance Field, or Instance-NeRF. |
Yichen Liu; Benran Hu; Junkai Huang; Yu-Wing Tai; Chi-Keung Tang; | iccv | 2023-09-27 |
| 705 | 3D Segmentation of Humans in Point Clouds with Synthetic Data IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Few works have attempted to directly segment humans in cluttered 3D scenes, which is largely due to the lack of annotated training data of humans interacting with 3D scenes. We address this challenge and propose a framework for generating training data of synthetic humans interacting with real 3D scenes. |
AYÇA TAKMAZ et. al. | iccv | 2023-09-27 |
| 706 | MasQCLIP for Open-Vocabulary Universal Image Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present a new method for open-vocabulary universal image segmentation, which is capable of performing instance, semantic, and panoptic segmentation under a unified framework. |
Xin Xu; Tianyi Xiong; Zheng Ding; Zhuowen Tu; | iccv | 2023-09-27 |
| 707 | Open-vocabulary Object Segmentation with Diffusion Models IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: The goal of this paper is to extract the visual-language correspondence from a pre-trained text-to-image diffusion model, in the form of segmentation map, i.e., simultaneously generating images and segmentation masks for the corresponding visual entities described in the text prompt. |
ZIYI LI et. al. | iccv | 2023-09-27 |
| 708 | UniSeg: A Unified Multi-Modal LiDAR Segmentation Network and The OpenPCSeg Codebase IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present a unified multi-modal LiDAR segmentation network, termed UniSeg, which leverages the information of RGB images and three views of the point cloud, and accomplishes semantic segmentation and panoptic segmentation simultaneously. |
YOUQUAN LIU et. al. | iccv | 2023-09-27 |
| 709 | Tracking Anything with Decoupled Video Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To ‘track anything’ without training on video data for every individual task, we develop a decoupled video segmentation approach (DEVA), composed of task-specific image-level segmentation and class/task-agnostic bi-directional temporal propagation. |
Ho Kei Cheng; Seoung Wug Oh; Brian Price; Alexander Schwing; Joon-Young Lee; | iccv | 2023-09-27 |
| 710 | LD-ZNet: A Latent Diffusion Approach for Text-Based Image Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This is because they have to synthesize intricate details about all objects in an image based on a text description. Therefore, we present a technique for segmenting real and AI-generated images using latent diffusion models (LDMs) trained on internet-scale datasets. |
Koutilya PNVR; Bharat Singh; Pallabi Ghosh; Behjat Siddiquie; David Jacobs; | iccv | 2023-09-27 |
| 711 | Boosting Semantic Segmentation from The Perspective of Explicit Class Embeddings Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we explore the mechanism of class embeddings and have an insight that more explicit and meaningful class embeddings can be generated based on class masks purposely. |
Yuhe Liu; Chuanjian Liu; Kai Han; Quan Tang; Zengchang Qin; | iccv | 2023-09-27 |
| 712 | Uni-3D: A Universal Model for Panoptic 3D Scene Reconstruction Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Inspired by recent advances in 2D vision that unify image segmentation and detection by Transformer-based models, we present Uni-3D, a holistic 3D scene parsing/reconstruction system for a single RGB image. |
Xiang Zhang; Zeyuan Chen; Fangyin Wei; Zhuowen Tu; | iccv | 2023-09-27 |
| 713 | Two-stage Coarse-to-fine Method for Pathological Images in Medical Decision-making Systems Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Artificial intelligence decision systems play an important supporting role in the field of medical information. Medical image analysis is an important part of decision systems and … |
Keke He; Jun Zhu; Limiao Li; Fangfang Gou; Jia Wu; | IET Image Process. | 2023-09-26 |
| 714 | Cross-City Matters: A Multimodal Remote Sensing Benchmark Dataset for Cross-City Semantic Segmentation Using High-Resolution Domain Adaptation Networks IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Artificial intelligence (AI) approaches nowadays have gained remarkable success in single-modality-dominated remote sensing (RS) applications, especially with an emphasis on individual urban environments (e.g., single cities or regions). Yet these AI models tend to meet the performance bottleneck in the case studies across cities or regions, due to the lack of diverse RS information and cutting-edge solutions with high generalization ability. |
DANFENG HONG et. al. | arxiv-cs.CV | 2023-09-26 |
| 715 | Weakly Supervised Semantic Segmentation By Knowledge Graph Inference Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Furthermore, CNN-based local convolutions lack the ability to model the extensive inter-category dependencies. Therefore, this paper introduces a graph reasoning-based approach to enhance WSSS. |
Jia Zhang; Bo Peng; Xi Wu; | arxiv-cs.CV | 2023-09-25 |
| 716 | CLIP-DIY: CLIP Dense Inference Yields Open-Vocabulary Semantic Segmentation For-Free IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Several methods have proposed different modifications and learning schemes to produce dense output. |
Monika Wysoczańska; Michaël Ramamonjisoa; Tomasz Trzciński; Oriane Siméoni; | arxiv-cs.CV | 2023-09-25 |
| 717 | The Effect of Camera Data Degradation Factors on Panoptic Segmentation for Automated Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Precise scene understanding based on perception sensors’ data is important for assisted and automated driving (AAD) functions, to enable accurate decision-making processes and … |
Yiting Wang; Haonan Zhao; Kurt Debattista; Valentina Donzella; | 2023 IEEE 26th International Conference on Intelligent … | 2023-09-24 |
| 718 | Scene Parsing Using Fully Convolutional Network for Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: When it comes to computer vision, scene parsing is a crucial part of semantic segmentation. It has a wide range of applications, including autonomous driving, robotics, gaming, … |
Nisar Ali; Ali Zeeshan Ijaz; Raja Hashim Ali; Zain Ul Abideen; Abdul Bais; | 2023 IEEE Canadian Conference on Electrical and Computer … | 2023-09-24 |
| 719 | A Lightweight RGB-T Fusion Network for Practical Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation of RGB-T images is a complex task due to the challenges involved in fusing information from multi-modalities, which requires significant computational … |
Haoyuan Zhang; Zifeng Li; Zhenyu Wu; Danwei Wang; | 2023 IEEE 26th International Conference on Intelligent … | 2023-09-24 |
| 720 | OneSeg: Self-learning and One-shot Learning Based Single-slice Annotation for 3D Medical Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To significantly reduce annotation efforts while attaining competitive segmentation accuracy, we propose a self-learning and one-shot learning based framework for 3D medical image segmentation by annotating only one slice of each 3D image. |
Yixuan Wu; Bo Zheng; Jintai Chen; Danny Z. Chen; Jian Wu; | arxiv-cs.CV | 2023-09-24 |
| 721 | LOGICSEG: Parsing Visual Semantics with Neural Logic Learning and Reasoning IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This is in stark contrast to human cognition which abstracts visual perceptions at multiple levels and conducts symbolic reasoning with such structured abstraction. To fill these fundamental gaps, we devise LOGICSEG, a holistic visual semantic parser that integrates neural inductive learning and logic reasoning with both rich data and symbolic knowledge. |
Liulei Li; Wenguan Wang; Yi Yang; | arxiv-cs.CV | 2023-09-24 |
| 722 | DCSeg-Net: Driver’s Cognition Based Semantic Segmentation By Multi-Level Feature Extraction Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Autonomous driving requires advanced technology to implement completely self-driving vehicles. Perceptual technologies, such as object detection, segmentation, and depth … |
Seungwoo Nham; Jinho Lee; Shunsuke Kamijo; | 2023 IEEE 26th International Conference on Intelligent … | 2023-09-24 |
| 723 | Rewrite Caption Semantics: Bridging Semantic Gaps for Language-Supervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Such semantic misalignment circulates in pre-training, leading to inferior zero-shot performance in dense predictions due to insufficient visual concepts captured in textual representations. To close such semantic gap, we propose Concept Curation (CoCu), a pipeline that leverages CLIP to compensate for the missing semantics. |
YUN XING et. al. | arxiv-cs.CV | 2023-09-23 |
| 724 | SCDA: A Style and Content Domain Adaptive Semantic Segmentation Method for Remote Sensing Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Due to the differences in imaging methods and acquisition areas, remote sensing datasets can exhibit significant variations in both image style and content. In addition, the … |
HONGFENG XIAO et. al. | Remote. Sens. | 2023-09-23 |
| 725 | ClusterFormer: Clustering As A Universal Visual Learner Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper presents CLUSTERFORMER, a universal vision model that is based on the CLUSTERing paradigm with TransFORMER. |
JAMES C. LIANG et. al. | arxiv-cs.CV | 2023-09-22 |
| 726 | PuzzleNN: A Neural Network for Image Segmentation Based on Clustering Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In order to create a system for Image Semantic Segmentation that works similarly to the human way of approaching visual problems, we decided to use divide-and-conquer to break an … |
Ada-Astrid Mocanu; Adrian Iftene; | 2023 International Conference on Innovations in Intelligent … | 2023-09-20 |
| 727 | MoDA: Leveraging Motion Priors from Videos for Advancing Unsupervised Domain Adaptation in Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we consider a more practical UDA setting where the target domain contains sequential frames of the unlabeled videos which are easy to collect in practice. |
Fei Pan; Xu Yin; Seokju Lee; Sungeui Yoon; In So Kweon; | arxiv-cs.CV | 2023-09-20 |
| 728 | Novel Approach For Scene Semantic Segmentation Using The Recurrent-Based UNET Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper, we propose a novel approach for semantic segmentation based on Deep Learning methods for Autonomous Driving. Our main idea is to develop a fully convolutional … |
Ahmed Khlifi; Mohamed Othmani; M. Kherallah; | 2023 International Conference on Innovations in Intelligent … | 2023-09-20 |
| 729 | Intelligent Debris Mass Estimation Model for Autonomous Underwater Vehicle Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we use instance segmentation to calculate the area of individual objects within an image, we use YOLOV7 in Roboflow to generate a set of bounding boxes for each object in the image with a class label and a confidence score for every detection. |
Mohana Sri S; Swethaa S; Aouthithiye Barathwaj SR Y; Sai Ganesh CS; | arxiv-cs.CV | 2023-09-19 |
| 730 | CaveSeg: Deep Semantic Segmentation and Scene Parsing for Autonomous Underwater Cave Exploration Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present CaveSeg – the first visual learning pipeline for semantic segmentation and scene parsing for AUV navigation inside underwater caves. |
A. ABDULLAH et. al. | arxiv-cs.RO | 2023-09-19 |
| 731 | DFormer: Rethinking RGBD Representation Learning for Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present DFormer, a novel RGB-D pretraining framework to learn transferable representations for RGB-D segmentation tasks. |
BOWEN YIN et. al. | arxiv-cs.CV | 2023-09-18 |
| 732 | Prompt Engineering in Medical Image Segmentation: An Overview of The Paradigm Shift Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Foundation AI models have emerged as powerful pre-trained models on a large scale, capable of seamlessly handling diverse tasks across multiple domains with minimal or no … |
Hazrat Ali; Mohammad Farhad Bulbul; Zubair Shah; | 2023 IEEE International Conference on Artificial … | 2023-09-16 |
| 733 | GCL: Gradient-Guided Contrastive Learning for Medical Image Segmentation with Multi-Perspective Meta Labels Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we tackle the issue of semantic contradiction in a gradient-guided manner using our proposed Gradient Mitigator method, which systematically unifies multi-perspective meta labels to enable a pre-trained model to attain a better high-level semantic recognition ability. |
YIXUAN WU et. al. | arxiv-cs.CV | 2023-09-16 |
| 734 | MA-SAM: Modality-agnostic SAM Adaptation for 3D Medical Image Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we introduce a modality-agnostic SAM adaptation framework, named as MA-SAM, that is applicable to various volumetric and video medical data. |
CHENG CHEN et. al. | arxiv-cs.CV | 2023-09-15 |
| 735 | JSMNet Improving Indoor Point Cloud Semantic and Instance Segmentation Through Self-Attention and Multiscale Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To this end, we propose JSMNet, which combines a multi-layer network with a global feature self-attention module to jointly segment three-dimensional point cloud semantics and instances. |
Shuochen Xu; Zhenxin Zhang; | arxiv-cs.CV | 2023-09-14 |
| 736 | A Handheld LiDAR-Based Semantic Automatic Segmentation Method for Complex Railroad Line Model Reconstruction Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: To ensure efficient railroad operation and maintenance management, the accurate reconstruction of railroad BIM models is a crucial step. This paper proposes a workflow for … |
Junjie Chen; Qian Su; Yunbin Niu; Zongyu Zhang; Jinghao Liu; | Remote. Sens. | 2023-09-13 |
| 737 | Real-Time Semantic Segmentation: A Brief Survey and Comparative Study in Remote Sensing Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Real-time semantic segmentation of remote sensing imagery is a challenging task that requires a tradeoff between effectiveness and efficiency. It has many applications, including … |
Clifford Broni-Bediako; Junshi Xia; N. Yokoya; | IEEE Geoscience and Remote Sensing Magazine | 2023-09-12 |
| 738 | Real-Time Semantic Segmentation: A Brief Survey & Comparative Study in Remote Sensing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper begins with a summary of the fundamental compression methods for designing efficient deep neural networks and provides a brief but comprehensive survey, outlining the recent developments in real-time semantic segmentation of remote sensing imagery. We examine several seminal efficient deep learning methods, placing them in a taxonomy based on the network architecture design approach. |
Clifford Broni-Bediako; Junshi Xia; Naoto Yokoya; | arxiv-cs.CV | 2023-09-12 |
| 739 | Towards Content-based Pixel Retrieval in Revisited Oxford and Paris Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper introduces the first two pixel retrieval benchmarks. |
GUOYUAN AN et. al. | arxiv-cs.CV | 2023-09-11 |
| 740 | Learning Semantic Segmentation with Query Points Supervision on Aerial Images Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we present a weakly supervised learning algorithm to train semantic segmentation algorithms that only rely on query point annotations instead of full mask labels. |
Santiago Rivier; Carlos Hinojosa; Silvio Giancola; Bernard Ghanem; | arxiv-cs.CV | 2023-09-11 |
| 741 | Self-Correlation and Cross-Correlation Learning for Few-Shot Remote Sensing Image Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To further explore the self-correlation with the query image, we propose to adopt a classical spectral method to produce a class-agnostic segmentation mask based on the basic visual information of the image. |
LINHAN WANG et. al. | arxiv-cs.CV | 2023-09-11 |
| 742 | FEES-IS: Real-time Instance Segmentation of Flexible Endoscopic Evaluation of Swallowing Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Instance segmentation offers advantages over semantic segmentation in medical image analysis by providing more detailed information for accurate identification and tracking of … |
Weihao Weng; Xinkui Zhu; Mitsuyoshi Imaizumi; Shigeyuki Murono; | 2023 11th European Workshop on Visual Information … | 2023-09-11 |
| 743 | Panoptic Vision-Language Feature Fields Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose to the best of our knowledge the first algorithm for open-vocabulary panoptic segmentation in 3D scenes. |
Haoran Chen; Kenneth Blomqvist; Francesco Milano; Roland Siegwart; | arxiv-cs.CV | 2023-09-11 |
| 744 | A Deep Learning Network for Individual Tree Segmentation in UAV Images with A Coupled CSPNet and Attention Mechanism IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Accurate individual tree detection by unmanned aerial vehicles (UAVs) is a critical technique for smart forest management and serves as the foundation for evaluating ecological … |
LUJIN LV et. al. | Remote. Sens. | 2023-09-08 |
| 745 | Grouping Boundary Proposals for Fast Interactive Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we introduce a new image segmentation model based on the minimal geodesic framework in conjunction with an adaptive cut-based circular optimal path computation scheme and a graph-based boundary proposals grouping scheme. |
Li Liu; Da Chen; Minglei Shu; Laurent D. Cohen; | arxiv-cs.CV | 2023-09-08 |
| 746 | Mask2Anomaly: Mask Transformer for Universal Open-set Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a paradigm change by shifting from a per-pixel classification to a mask classification. |
Shyam Nandan Rai; Fabio Cermelli; Barbara Caputo; Carlo Masone; | arxiv-cs.CV | 2023-09-08 |
| 747 | G-UNeXt: A Lightweight MLP-based Network for Reducing Semantic Gap in Medical Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View |
Xin Zhang; Xiaotian Cao; Jun Wang; Lei Wan; | Multimedia Systems | 2023-09-06 |
| 748 | Diffusion Model Is Secretly A Training-free Open Vocabulary Semantic Segmenter IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To this end, we uncover the potential of generative text-to-image diffusion models (e.g., Stable Diffusion) as highly efficient open-vocabulary semantic segmenters, and introduce a novel training-free approach named DiffSegmenter. |
JINGLONG WANG et. al. | arxiv-cs.CV | 2023-09-06 |
| 749 | Self-Supervised Pre-Training Boosts Semantic Scene Segmentation on LiDAR Data Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose to train a self-supervised encoder with Barlow Twins and use it as a pre-trained network in the task of semantic scene segmentation. |
Mariona Carós; Ariadna Just; Santi Seguí; Jordi Vitrià; | arxiv-cs.CV | 2023-09-05 |
| 750 | FOR-instance: A UAV Laser Scanning Benchmark Dataset for Semantic and Instance Segmentation of Individual Trees IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The FOR-instance dataset (available at https://doi.org/10.5281/zenodo.8287792) addresses the challenge of accurate individual tree segmentation from laser scanning data, crucial … |
STEFANO PULITI et. al. | ArXiv | 2023-09-03 |
| 751 | An Efficient Image-guided-based 3D Point Cloud Moving Object Segmentation with Transformer-attention in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View |
Qipeng Li; Zhuang Yuan; | Int. J. Appl. Earth Obs. Geoinformation | 2023-09-01 |
| 752 | Semantic Segmentation Based on Spatial Pyramid Pooling and Multilayer Feature Fusion Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In recent years, significant progress has been made in semantic segmentation methods. Traditional semantic segmentation methods based on convolutional neural network (CNN) are … |
Jian Ji; Sitong Li; Xianfu Liao; Fangrong Zhang; | IEEE Transactions on Cognitive and Developmental Systems | 2023-09-01 |
| 753 | Scene Sketch Semantic Segmentation with Hierarchical Transformer Related Papers Related Patents Related Grants Related Venues Related Experts View |
Jie Yang; Aihua Ke; Yaoxiang Yu; Bo Cai; | Knowl. Based Syst. | 2023-09-01 |
| 754 | Object-free Backdoor Attack and Defense on Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View |
JIAOZE MAO et. al. | Comput. Secur. | 2023-09-01 |
| 755 | Self-supervised Semantic Segmentation: Consistency Over Transformation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, prevailing supervised deep learning approaches for medical image segmentation encounter significant challenges due to their heavy dependence on extensive labeled training data. To tackle this issue, we propose a novel self-supervised algorithm, \textbf{S$^3$-Net}, which integrates a robust framework based on the proposed Inception Large Kernel Attention (I-LKA) modules. |
SANAZ KARIMIJAFARBIGLOO et. al. | arxiv-cs.CV | 2023-08-31 |
| 756 | PointOcc: Cylindrical Tri-Perspective View for Point-based 3D Semantic Occupancy Prediction IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: The dense nature of the prediction space has rendered existing efficient 2D-projection-based methods (e.g., bird’s eye view, range view, etc.) ineffective, as they can only describe a subspace of the 3D scene. To address this, we propose a cylindrical tri-perspective view to represent point clouds effectively and comprehensively and a PointOcc model to process them efficiently. |
Sicheng Zuo; Wenzhao Zheng; Yuanhui Huang; Jie Zhou; Jiwen Lu; | arxiv-cs.CV | 2023-08-31 |
| 757 | BTSeg: Barlow Twins Regularization for Domain Adaptation in Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce BTSeg (Barlow Twins regularized Segmentation), an innovative, semi-supervised training approach enhancing semantic segmentation models in order to effectively tackle adverse weather conditions without requiring additional labeled training data. |
Johannes Künzel; Anna Hilsmann; Peter Eisert; | arxiv-cs.CV | 2023-08-31 |
| 758 | Shatter and Gather: Learning Referring Image Segmentation with Text Supervision IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, manual labeling of training data for this task is prohibitively costly, leading to lack of labeled data for training. We address this issue by a weakly supervised learning approach using text descriptions of training images as the only source of supervision. |
Dongwon Kim; Namyup Kim; Cuiling Lan; Suha Kwak; | arxiv-cs.CV | 2023-08-29 |
| 759 | Semi-Supervised Learning for Visual Bird’s Eye View Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Visual bird’s eye view (BEV) semantic segmentation helps autonomous vehicles understand the surrounding environment only from front-view (FV) images, including static elements … |
JUNYU ZHU et. al. | 2024 IEEE International Conference on Robotics and … | 2023-08-28 |
| 760 | Attention-Guided Lidar Segmentation and Odometry Using Image-to-Point Cloud Saliency Transfer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, these tasks are challenging due to the imbalance of points in different semantic categories for 3D semantic segmentation and the influence of dynamic objects for LiDAR odometry estimation, which increases the importance of using representative/salient landmarks as reference points for robust feature learning. To address these challenges, we propose a saliency-guided approach that leverages attention information to improve the performance of LiDAR odometry estimation and semantic segmentation models. |
Guanqun Ding; Nevrez Imamoglu; Ali Caglayan; Masahiro Murakawa; Ryosuke Nakamura; | arxiv-cs.CV | 2023-08-28 |
| 761 | Semi-Supervised Learning for Visual Bird’s Eye View Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present a novel semi-supervised framework for visual BEV semantic segmentation to boost performance by exploiting unlabeled images during the training. |
JUNYU ZHU et. al. | arxiv-cs.CV | 2023-08-28 |
| 762 | Enhancing Bloodstain Analysis Through AI-Based Segmentation: Leveraging Segment Anything Model for Crime Scene Investigation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper explores the application of pre-trained SAM and fine-tuned SAM on bloodstain image segmentation with diverse image backgrounds. |
Zihan Dong; ZhengDong Zhang; | arxiv-cs.CV | 2023-08-26 |
| 763 | SamDSK: Combining Segment Anything Model with Domain-Specific Knowledge for Semi-Supervised Learning in Medical Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a novel method that combines the segmentation foundation model (i.e., SAM) with domain-specific knowledge for reliable utilization of unlabeled images in building a medical image segmentation model. |
YIZHE ZHANG et. al. | arxiv-cs.CV | 2023-08-26 |
| 764 | IUCNet: A Novel Semantic Segmentation Network for Overlapping Industrial Parts Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: General-purpose segmentation methods networks are difficult to adapt to more complex industrial scenes based on convolutional neural, such as industrial parts with more stacking, … |
Kedi Wu; Qingcheng Yang; | 2023 International Conference on Computers, Information … | 2023-08-26 |
| 765 | Interactive Segmentation in Aerial Images: A New Benchmark and An Open Access Web-based Tool Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This study aims to bridge the gap between interactive segmentation and remote sensing analysis by conducting a benchmark study on various interactive segmentation models. |
Zhe Wang; Shoukun Sun; Xiang Que; Xiaogang Ma; | arxiv-cs.CV | 2023-08-25 |
| 766 | A Re-Parameterized Vision Transformer (ReVT) for Domain-Generalized Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present a new augmentation-driven approach to domain generalization for semantic segmentation using a re-parameterized vision transformer (ReVT) with weight averaging of multiple models after training. |
Jan-Aike Termöhlen; Timo Bartels; Tim Fingscheidt; | arxiv-cs.CV | 2023-08-25 |
| 767 | Robotic Scene Segmentation with Memory Network for Runtime Surgical Context Inference Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This can negatively impact the context inference and accurate detection of critical states. In this study, we propose a solution to these challenges using a Space Time Correspondence Network (STCN). |
Zongyu Li; Ian Reyes; Homa Alemzadeh; | arxiv-cs.CV | 2023-08-24 |
| 768 | DenseDINO: Boosting Dense Self-Supervised Learning with Token-Based Point-Level Consistency Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a simple yet effective transformer framework for self-supervised learning called DenseDINO to learn dense visual representations. |
Yike Yuan; Xinghe Fu; Yunlong Yu; Xi Li; | ijcai | 2023-08-23 |
| 769 | RaMLP: Vision MLP Via Region-aware Mixing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Recent methods tried to address it but brought two new problems, long-range dependencies or important visual cues are ignored. This paper presents a new MLP-based architecture, Region-aware MLP (RaMLP), to satisfy various vision tasks and address the above three problems. |
Shenqi Lai; Xi Du; Jia Guo; Kaipeng Zhang; | ijcai | 2023-08-23 |
| 770 | A Three in One Bottom-up Framework for Simultaneous Semantic Segmentation, Instance Segmentation and Classification of Multi-organ Nuclei in Digital Cancer Histology Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce additional decoder heads with independent weighted losses, which produce semantic segmentation, edge proposals, and classification maps. |
Ibtihaj Ahmad; Syed Muhammad Israr; Zain Ul Islam; | arxiv-cs.CV | 2023-08-22 |
| 771 | Masked Momentum Contrastive Learning for Zero-shot Semantic Understanding Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To this end, we propose an evaluation protocol for zero-shot segmentation based on a prompting patch. |
JIANTAO WU et. al. | arxiv-cs.CV | 2023-08-22 |
| 772 | LOCATE: Self-supervised Object Discovery Via Flow-guided Graph-cut and Bootstrapped Self-training Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Humans easily identify moving salient objects in videos using the gestalt principle of common fate, which suggests that what moves together belongs together. Building upon this idea, we propose a self-supervised object discovery approach that leverages motion and appearance information to produce high-quality object segmentation masks. |
Silky Singh; Shripad Deshmukh; Mausoom Sarkar; Balaji Krishnamurthy; | arxiv-cs.CV | 2023-08-22 |
| 773 | Affordance Segmentation of Hand-occluded Containers from Exocentric Images Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we focus on occlusions of an object that is hand-held by a person manipulating it. |
TOMMASO APICELLA et. al. | arxiv-cs.CV | 2023-08-22 |
| 774 | PHE-SICH-CT-IDS: A Benchmark CT Image Dataset for Evaluation Semantic Segmentation, Object Detection and Radiomic Feature Extraction of Perihematomal Edema in Spontaneous Intracerebral Hemorrhage Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This study establishes a publicly available CT dataset named PHE-SICH-CT-IDS for perihematomal edema in spontaneous intracerebral hemorrhage. |
DEGUO MA et. al. | arxiv-cs.CV | 2023-08-21 |
| 775 | Anomaly-Aware Semantic Segmentation Via Style-Aligned OoD Augmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we advance the OoD synthesis process by reducing the domain gap between the OoD data and driving scenes, effectively mitigating the style difference that might otherwise act as an obvious shortcut during training. |
Dan Zhang; Kaspar Sakmann; William Beluch; Robin Hutmacher; Yumeng Li; | arxiv-cs.CV | 2023-08-19 |
| 776 | Single Frame Semantic Segmentation Using Multi-Modal Spherical Images Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this study, we propose a transformer-based cross-modal fusion architecture to bridge the gap between multi-modal fusion and omnidirectional scene perception. |
Suresh Guttikonda; Jason Rambach; | arxiv-cs.CV | 2023-08-18 |
| 777 | EAVL: Explicitly Align Vision and Language for Referring Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce EAVL, a method explicitly aligning vision and language features. |
Yichen Yan; Xingjian He; Wenxuan Wang; Sihan Chen; Jing Liu; | arxiv-cs.CV | 2023-08-18 |
| 778 | Microscopy Image Segmentation Via Point and Shape Regularized Data Synthesis Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we assume access to point annotations only during training and develop a unified pipeline for microscopy image segmentation using synthetically generated training data. |
Shijie Li; Mengwei Ren; Thomas Ach; Guido Gerig; | arxiv-cs.CV | 2023-08-18 |
| 779 | ECPC-IDS: A Benchmark Endometrail Cancer PET/CT Image Dataset for Evaluation of Semantic Segmentation and Detection of Hypermetabolic Regions Related Papers Related Patents Related Grants Related Venues Related Experts View |
DECHAO TANG et. al. | Computers in biology and medicine | 2023-08-16 |
| 780 | MEDOE: A Multi-Expert Decoder and Output Ensemble Framework for Long-tailed Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we focus on the problem of long-tailed semantic segmentation. |
JUNAO SHEN et. al. | arxiv-cs.CV | 2023-08-16 |
| 781 | Exploring Transfer Learning in Medical Image Segmentation Using Vision-Language Models Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Medical image segmentation allows quantifying target structure size and shape, aiding in disease diagnosis, prognosis, surgery planning, and comprehension.Building upon recent advancements in foundation Vision-Language Models (VLMs) from natural image-text pairs, several studies have proposed adapting them to Vision-Language Segmentation Models (VLSMs) that allow using language text as an additional input to segmentation models. |
KANCHAN POUDEL et. al. | arxiv-cs.CV | 2023-08-15 |
| 782 | A One Stop 3D Target Reconstruction and Multilevel Segmentation Method Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Here we propose an open-source one stop 3D target reconstruction and multilevel segmentation framework (OSTRA), which performs segmentation on 2D images, tracks multiple instances with segmentation labels in the image sequence, and then reconstructs labelled 3D objects or multiple parts with Multi-View Stereo (MVS) or RGBD-based 3D reconstruction methods. |
Jiexiong Xu; Weikun Zhao; Zhiyan Tang; Xiangchao Gan; | arxiv-cs.CV | 2023-08-14 |
| 783 | LadleNet: A Two-Stage UNet for Infrared Image to Visible Image Translation Guided By Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: By exploring the interpretability of intermediate modalities in existing translation architectures, we found that the intermediate modality in the image translation process for street scene images essentially performs semantic segmentation, distinguishing street images based on background and foreground patterns before assigning color information. Based on these principles, we propose an improved algorithm based on U-net called LadleNet. |
Tonghui Zou; Lei Chen; | arxiv-cs.CV | 2023-08-12 |
| 784 | FoodSAM: Any Food Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we explore the zero-shot capability of the Segment Anything Model (SAM) for food image segmentation. |
XING LAN et. al. | arxiv-cs.CV | 2023-08-11 |
| 785 | MixReorg: Cross-Modal Mixed Patch Reorganization Is A Good Mask Learner for Open-World Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, these models still face difficulties in learning fine-grained semantic alignment at the pixel level and predicting accurate object masks. To address this issue, we propose MixReorg, a novel and straightforward pre-training paradigm for semantic segmentation that enhances a model’s ability to reorganize patches mixed across images, exploring both local visual relevance and global semantic coherence. |
KAIXIN CAI et. al. | arxiv-cs.CV | 2023-08-09 |
| 786 | Scene-Generalizable Interactive Segmentation of Radiance Fields Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work we make the first attempt at Scene-Generalizable Interactive Segmentation in Radiance Fields (SGISRF) and propose a novel SGISRF method, which can perform 3D object segmentation for novel (unseen) scenes represented by radiance fields, guided by only a few interactive user clicks in a given set of multi-view 2D images. |
SONGLIN TANG et. al. | arxiv-cs.CV | 2023-08-09 |
| 787 | Branches Mutual Promotion for End-to-End Weakly Supervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, this strategy makes the classification branch dominate the whole concurrent training process, hindering these two branches from assisting each other. In our work, we treat these two branches equally by viewing them as diverse ways to generate the segmentation map, and add interactions on both their supervision and operation to achieve mutual promotion. |
LEI ZHU et. al. | arxiv-cs.CV | 2023-08-09 |
| 788 | EPCFormer: Expression Prompt Collaboration Transformer for Universal Referring Video Object Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, due to the challenges in modeling representations for different modalities, contemporary methods struggle to strike a balance between interaction flexibility and high-precision localization and segmentation. In this paper, we address this problem from two perspectives: the alignment representation of audio and text and the deep interaction among audio, text, and visual features. |
JIAJUN CHEN et. al. | arxiv-cs.CV | 2023-08-08 |
| 789 | Prototype Learning for Out-of-Distribution Polyp Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our objective in this study is to create a robust and well-generalized segmentation model named PrototypeLab that can assist in polyp segmentation. |
Nikhil Kumar Tomar; Debesh Jha; Ulas Bagci; | arxiv-cs.CV | 2023-08-07 |
| 790 | AdaptiveSAM: Towards Efficient Tuning of SAM for Surgical Scene Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose AdaptiveSAM – an adaptive modification of SAM that can adjust to new datasets quickly and efficiently, while enabling text-prompted segmentation. |
Jay N. Paranjape; Nithin Gopalakrishnan Nair; Shameema Sikder; S. Swaroop Vedula; Vishal M. Patel; | arxiv-cs.CV | 2023-08-07 |
| 791 | PAIF: Perception-Aware Infrared-Visible Image Fusion for Attack-Tolerant Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, a perception-aware fusion framework is proposed to promote segmentation robustness in adversarial scenes. |
ZHU LIU et. al. | arxiv-cs.CV | 2023-08-07 |
| 792 | Syn-Mediverse: A Multimodal Synthetic Dataset for Intelligent Scene Understanding of Healthcare Facilities Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: While deep learning models are increasingly used for this purpose, they require extensive annotated training data which is impractical to obtain in real-world healthcare settings. To bridge this gap, we present Syn-Mediverse, the first hyper-realistic multimodal synthetic dataset of diverse healthcare facilities. |
Rohit Mohan; José Arce; Sassan Mokhtar; Daniele Cattaneo; Abhinav Valada; | arxiv-cs.CV | 2023-08-06 |
| 793 | NP-SemiSeg: When Neural Processes Meet Semi-Supervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we move one step forward by adapting NPs to semi-supervised semantic segmentation, resulting in a new model called NP-SemiSeg. |
Jianfeng Wang; Daniela Massiceti; Xiaolin Hu; Vladimir Pavlovic; Thomas Lukasiewicz; | arxiv-cs.CV | 2023-08-05 |
| 794 | Few-shot Class-Incremental Semantic Segmentation Via Pseudo-Labeling and Knowledge Distillation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: For learning from limited data, we propose a pseudo-labeling strategy to augment the few-shot training annotations in order to learn novel classes more effectively. |
CHENGJIA JIANG et. al. | arxiv-cs.CV | 2023-08-05 |
| 795 | Synthetic Instance Segmentation from Semantic Image Segmentation Masks Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a novel paradigm called Synthetic Instance Segmentation (SISeg). |
Yuchen Shen; Dong Zhang; Zhao Zhang; Liyong Fu; Qiaolin Ye; | arxiv-cs.CV | 2023-08-02 |
| 796 | Dynamic Token Pruning in Plain Vision Transformers for Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To this end, this work introduces a Dynamic Token Pruning (DToP) method based on the early exit of tokens for semantic segmentation. |
Quan Tang; Bowen Zhang; Jiajun Liu; Fagui Liu; Yifan Liu; | arxiv-cs.CV | 2023-08-02 |
| 797 | Cross Domain Matching for Semantic Point Cloud Segmentation Based on Image Segmentation and Geometric Reasoning Related Papers Related Patents Related Grants Related Venues Related Experts View |
Jan Martens; T. Blut; J. Blankenbach; | Adv. Eng. Informatics | 2023-08-01 |
| 798 | Class Semantic Enhancement Network for Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View |
SIMING FU et. al. | J. Vis. Commun. Image Represent. | 2023-08-01 |
| 799 | A Novel Quality Control Algorithm for Medical Image Segmentation Based on Fuzzy Uncertainty IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep learning methods have achieved an excellent performance in medical image segmentation. However, the practical application of deep learning-based segmentation models is … |
Qiao Lin; Xin Chen; Chao Chen; J. Garibaldi; | IEEE Transactions on Fuzzy Systems | 2023-08-01 |
| 800 | Adversarial Learning of Object-Aware Activation Map for Weakly-Supervised Semantic Segmentation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recent years have witnessed impressive advances in the area of weakly-supervised semantic segmentation (WSSS). However, most of existing approaches are based on class activation … |
Junliang Chen; Weizeng Lu; Yuexiang Li; Linlin Shen; Jinming Duan; | IEEE Transactions on Circuits and Systems for Video … | 2023-08-01 |
| 801 | Learning to Generate Training Datasets for Robust Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a novel approach to improve the robustness of semantic segmentation techniques by leveraging the synergy between label-to-image generators and image-to-label segmentation models. |
MARWANE HARIAT et. al. | arxiv-cs.CV | 2023-08-01 |
| 802 | Lowis3D: Language-Driven Open-World Instance-Level 3D Scene Understanding IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, this success is hard to replicate in 3D scenarios due to the scarcity of 3D-text pairs. To address this challenge, we propose to harness pre-trained vision-language (VL) foundation models that encode extensive knowledge from image-text pairs to generate captions for multi-view images of 3D scenes. |
RUNYU DING et. al. | arxiv-cs.CV | 2023-08-01 |
| 803 | A Multi-Phase Camera-LiDAR Fusion Network for 3D Semantic Segmentation With Weak Supervision IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Camera and LiDAR are indispensable perception units in autonomous driving, providing complementary environmental information for 3D semantic segmentation. It is the key point that … |
Xuepeng Chang; Huihui Pan; Weichao Sun; Huijun Gao; | IEEE Transactions on Circuits and Systems for Video … | 2023-08-01 |
| 804 | LMNS-Net: Lightweight Multiscale Novel Semantic-Net Deep Learning Approach Used for Automatic Pancreas Image Segmentation in CT Scan Images IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
Pradip M. Paithane; S. Kakarwal; | Expert Syst. Appl. | 2023-08-01 |
| 805 | Audio-Visual Segmentation By Exploring Cross-Modal Mutual Semantics IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we present an audio-visual instance-aware segmentation approach to overcome the dataset bias. |
CHEN LIU et. al. | arxiv-cs.SD | 2023-07-31 |
| 806 | Multispectral Image Segmentation in Agriculture: A Comprehensive Study on Fusion Approaches Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: More specifically, in this work, we compare different fusion approaches by combining RGB and NDVI as inputs for crop row detection, which can be useful in autonomous robots operating in the field. |
NUNO CUNHA et. al. | arxiv-cs.CV | 2023-07-31 |
| 807 | Iterative Weakly Supervised Semantic Segmentation Network with Fused Superpixel Clues Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Most weakly supervised semantic segmentation networks lack semantic information between pixels, resulting in incomplete segmentation of targets. In this paper, we propose an … |
Xiaoning Wu; Ruixin Li; Zhu Xinli; Zhu Siyan; Daowang Cui; | 2023 19th International Conference on Natural Computation, … | 2023-07-29 |
| 808 | Building Segmentation from Remote Sensing Image Via DWT Attention Networks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The attention mechanism has been widely used and achieved good results in many visual tasks. But the calculations of attention mechanism in vision tasks consume huge spaces and … |
Yin-hua Wu; Mingquan Zhou; Shenglin Geng; Dan Zhang; | Proceedings of the 2023 5th International Conference on … | 2023-07-28 |
| 809 | Enhancing Building Segmentation in Remote Sensing Images: Advanced Multi-Scale Boundary Refinement with MBR-HRNet Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep learning algorithms offer an effective solution to the inefficiencies and poor results of traditional methods for building a footprint extraction from high-resolution remote … |
Ge Yan; H. Jing; Hui Li; Huanchao Guo; S. He; | Remote. Sens. | 2023-07-28 |
| 810 | NDAU: Non-Local Dual Attention-Gated Unet for Brain Tumor Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Brain MRI segmentation is a critical task in medical image analysis for diagnosis, treatment, and monitoring of various neurological diseases and conditions. Deep neural networks … |
Manh-Hung Ha; Do Anh Luyen; O. Chen; Truong Cong Doan; N. V. Tinh; | 2023 International Conference on System Science and … | 2023-07-27 |
| 811 | MDSNet: A Multiscale Decoupled Supervision Network for Semantic Segmentation of Remote Sensing Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recent deep-learning successes have led to a new wave of semantic segmentation in remote sensing (RS) applications. However, most approaches rarely distinguish the role of the … |
Jiangfan Feng; Panyu Chen; Zhujun Gu; Maimai Zeng; Wei Zheng; | International Journal of Digital Earth | 2023-07-27 |
| 812 | Self-supervised Few-shot Learning for Semantic Segmentation: An Annotation-free Approach Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, existing FSS techniques heavily rely on annotated semantic classes, rendering them unsuitable for medical images due to the scarcity of annotations. To address this challenge, multiple contributions are proposed: First, inspired by spectral decomposition methods, the problem of image decomposition is reframed as a graph partitioning task. |
Sanaz Karimijafarbigloo; Reza Azad; Dorit Merhof; | arxiv-cs.CV | 2023-07-26 |
| 813 | Semantic Segmentation of Remote Sensing Image Based on Bilateral Branch Network Related Papers Related Patents Related Grants Related Venues Related Experts View |
Zhongyu Li; Huajun Wang; Yang Liu; | The Visual Computer | 2023-07-26 |
| 814 | Optical Flow Boosts Unsupervised Localization and Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we leverage motion cues, inspired by the common fate principle that pixels that share similar movements tend to belong to the same object. |
Xinyu Zhang; Abdeslam Boularias; | arxiv-cs.CV | 2023-07-25 |
| 815 | Indoor Navigation Assistance System for Visually Impaired with Semantic Segmentation Using EdgeTPU Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recognizing the limited supply and high cost of alternative solutions for visual assistance, such as guides, it is critical to create an affordable and accessible means of … |
Victor Tran; Kanika Sood; Kayhan Bakian; Aneesh Reddy Sannapu; | 2023 International Conference on Smart Applications, … | 2023-07-25 |
| 816 | Image Segmentation Keras : Implementation of Segnet, FCN, UNet, PSPNet and Other Models in Keras IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present a comprehensive library for semantic segmentation, which contains implementations of popular segmentation models like SegNet, FCN, UNet, and PSPNet. |
Divam Gupta; | arxiv-cs.CV | 2023-07-24 |
| 817 | SwIPE: Efficient and Robust Medical Image Segmentation with Implicit Patch Embeddings Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: More importantly, these formulations were also constrained to either point-based or global contexts, lacking contextual understanding or local fine-grained details, respectively–both critical for accurate segmentation. To remedy this, we propose a novel approach, SwIPE (Segmentation with Implicit Patch Embeddings), that leverages the advantages of INRs and predicts shapes at the patch level–rather than at the point level or image level–to enable both accurate local boundary delineation and global shape coherence. |
Yejia Zhang; Pengfei Gu; Nishchal Sapkota; Danny Z. Chen; | arxiv-cs.CV | 2023-07-23 |
| 818 | MASA-SegNet: A Semantic Segmentation Network for PolSAR Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation of Polarimetric SAR (PolSAR) images is an important research topic in remote sensing. Many deep neural network-based semantic segmentation methods have been … |
JUN SUN et. al. | Remote. Sens. | 2023-07-22 |
| 819 | An Investigation of Segment Anything Model (SAM) on Uterus Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Highly development of language-image models makes prompt-driven accurate segmentation become possible. Segment Anything Model (SAM) has recently made a breakthrough in zero-shot … |
Shan Zhang; Bohui Liang; Xuejun Zhang; Bin Li; Liying Zhang; | Proceedings of the 2023 8th International Conference on … | 2023-07-21 |
| 820 | Lightweight Bilateral Network for Real-Time Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Herein, a dual-branch semantic segmentation model based on depth-separable convolution and attention mechanism is proposed for the real-time and accuracy requirement of semantic … |
Pengtao Wang; Lihong Li; Feiyang Pan; L. Wang; | J. Adv. Comput. Intell. Intell. Informatics | 2023-07-20 |
| 821 | Smilies: A Soft-Multi-Label-Guided Weakly Supervised Semantic Segmentation Framework for Remote Sensing Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Weakly supervised semantic segmentation (WSSS) can well solve the problem of insufficient samples for semantic segmentation of remote sensing images. In order to better solve the … |
Tong Wang; Xiaodong Zhang; Guanzhou Chen; Chenxi Liu; | 2023 30th International Conference on Geoinformatics | 2023-07-19 |
| 822 | 3D-SeqMOS: A Novel Sequential 3D Moving Object Segmentation in Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we address the problem of moving object segmentation from 3D LiDAR scans to improve the odometry and loop-closure accuracy of SLAM. |
QIPENG LI et. al. | arxiv-cs.RO | 2023-07-18 |
| 823 | Critical Electrical Infrastructure Segmentation in Arctic Conditions Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Most critical electrical infrastructure monitoring research takes place in temperate climates; however, significant infrastructure is deployed in remote and harsh environments, … |
Arka Singh; Sreeraman Rajan; Marzieh Amini; J. Green; K. Dick; | 2023 IEEE Sensors Applications Symposium (SAS) | 2023-07-18 |
| 824 | CG-fusion CAM: Online Segmentation of Laser-induced Damage on Large-aperture Optics Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: LayerCAM, an advanced weakly supervised semantic segmentation algorithm, can generate pixel-accurate results using only image-level labels, but its scattered and partially under-activated class activation regions degrade segmentation performance. In this paper, we propose a weakly supervised semantic segmentation method with Continuous Gradient CAM and its nonlinear multi-scale fusion (CG-fusion CAM). |
YUEYUE HAN et. al. | arxiv-cs.CV | 2023-07-18 |
| 825 | Multi-Task Deep Learning Model for Autonomous Driving: Object Detection, Semantic Segmentation, and Depth Estimation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In the field of autonomous driving, many models based on deep learning methods have been constructed to solve computer vision tasks related to this domain, such as object … |
Yih-Chen Wang; Jhe-Li Lin; Yen-Lin Chen; Chieh-Sheng Huang; Ming-Liang Lai; | 2023 International Conference on Consumer Electronics – … | 2023-07-17 |
| 826 | A Nested U-Structure for Instrument Segmentation in Robotic Surgery Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, pixel-wise instrument segmentation is investigated. |
Yanjie Xia; Shaochen Wang; Zhen Kan; | arxiv-cs.RO | 2023-07-17 |
| 827 | A Gas Detection Method Based on Multiscale Infrared Image Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Infrared imaging systems have been widely applied in gas leak detection. However, The existing gas detection methods have many limitations and are difficult to apply in real-world … |
JUE WANG et. al. | 2023 IEEE International Conference on Real-time Computing … | 2023-07-17 |
| 828 | Text As A Richer Source of Supervision in Semantic Segmentation Tasks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: This paper introduces TACOSS a text-image alignment approach that allows explainable land cover semantic segmentation by directly integrating semantic concepts encoded from texts. … |
Valérie Zermatten; Javiera Castillo Navarro; L. Hughes; Tobias Kellenberger; D. Tuia; | IGARSS 2023 – 2023 IEEE International Geoscience and Remote … | 2023-07-16 |
| 829 | On Point Affiliation in Feature Upsampling Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce the notion of point affiliation into feature upsampling. |
Wenze Liu; Hao Lu; Yuliang Liu; Zhiguo Cao; | arxiv-cs.CV | 2023-07-16 |
| 830 | Multi-Object Discovery By Low-Dimensional Object Motion Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose to model pixel-wise geometry and object motion to remove ambiguity in reconstructing flow from a single image. |
Sadra Safadoust; Fatma Güney; | arxiv-cs.CV | 2023-07-16 |
| 831 | An Enhanced Unsupervised Feature Learning Framework For Radar Sounder Signal Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Unsupervised semantic segmentation is the method of discovering meaningful semantic contents within the image domain without using any labelled information. The learned semantic … |
Raktim Ghosh; F. Bovolo; | IGARSS 2023 – 2023 IEEE International Geoscience and Remote … | 2023-07-16 |
| 832 | Multi-Modal Multi-Task Learning for Semantic Segmentation of Land Cover Under Cloudy Conditions Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The majority of the Earth’s surface is covered by clouds, causing optical images to suffer serious degradation of ground information. Synthetic Aperture Radar (SAR) images with … |
Fang Xu; Yilei Shi; Wen Yang; Xiaoxiang Zhu; | IGARSS 2023 – 2023 IEEE International Geoscience and Remote … | 2023-07-16 |
| 833 | Diffusion Models for Remote Sensing Imagery Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Denoising Diffusion Probabilistic Models have exhibited impressive performance for generative modelling of images. This paper aims to explore the potential of diffusion models for … |
C. Ayala; R. Sesma; C. Aranda; Mikel Galar; | IGARSS 2023 – 2023 IEEE International Geoscience and Remote … | 2023-07-16 |
| 834 | Toward Open-World Semantic Segmentation of Remote Sensing Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this work, we address the challenge of open-world semantic segmentation for remote sensing (RS) images, which involves segmenting arbitrary objects in images using open RS … |
Yuxing Chen; L. Bruzzone; | IGARSS 2023 – 2023 IEEE International Geoscience and Remote … | 2023-07-16 |
| 835 | Generative Augmentation for Sky/Cloud Image Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Cloud image segmentation plays a pivotal role in fields such as weather prediction, climate modeling, and renewable energy systems. Although ground-based sky imagers are preferred … |
Avnish Kumar; Mayank Jain; Soumyabrata Dev; | IGARSS 2023 – 2023 IEEE International Geoscience and Remote … | 2023-07-16 |
| 836 | A Comparison Study: Building Identification in Aerial Imagery Using Multi-Task Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: There is an increase in the availability of remote sensing images which has made it possible to track the impact that human activities have on their environments at a global … |
Nakiranda Proscovia; Trienko L. Grobler; | IGARSS 2023 – 2023 IEEE International Geoscience and Remote … | 2023-07-16 |
| 837 | Height Estimation Based on Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Buildings are crucial for urban development, and building extraction and height estimation are two essential components in the process of architectural reconstruction. Nowadays, … |
Yuxuan Guo; Zhe Wang; | IGARSS 2023 – 2023 IEEE International Geoscience and Remote … | 2023-07-16 |
| 838 | A Framework for Token-Based Scene-Classification of Remote Sensing Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Remote sensing images often come in very high resolutions. For instance, large images of resolution 1000×1000 are quite common in remote sensing applications. Thus, one key … |
Mohammad Iqbal Nouyed; Gianfranco Doretto; Don Adjeroh; | IGARSS 2023 – 2023 IEEE International Geoscience and Remote … | 2023-07-16 |
| 839 | Semantic Segmentation for Remote Sensing Images Based on Swin-Transformer and Multiscale Feature Refinement Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Thanks to the development of deep learning, semantic segmentation of remote sensing images has made great advances. However, because of the widespread complex background and … |
Shengyu Zhu; | IGARSS 2023 – 2023 IEEE International Geoscience and Remote … | 2023-07-16 |
| 840 | PSGformer: Enhancing 3D Point Cloud Instance Segmentation Via Precise Semantic Guidance Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: They fail to fully leverage global and local semantic information for accurate prediction, which hampers the overall performance of the 3D instance segmentation framework. To address these issues, this paper presents PSGformer, a novel 3D instance segmentation network. |
Lei Pan; Wuyang Luan; Yuan Zheng; Qiang Fu; Junhui Li; | arxiv-cs.CV | 2023-07-15 |
| 841 | Image Segmentation Combining Pulse Coupled Neural Network and Adaptive Glowworm Algorithm Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image segmentation is one of the key steps of target recognition. In order to improve the accuracy of image segmentation, an image segmentation algorithm combining Pulse Coupled … |
Juan Zhu; Yuqing Ma; Jipeng Huang; Lianming Wang; | Inf. Technol. Control. | 2023-07-15 |
| 842 | LEST: Large-scale LiDAR Semantic Segmentation with Transformer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Large-scale LiDAR-based point cloud semantic segmentation is a critical task in autonomous driving perception. Almost all of the previous state-of-the-art LiDAR semantic … |
CHUANYU LUO et. al. | ArXiv | 2023-07-14 |
| 843 | Building Critical Testing Scenarios for Autonomous Driving from Real Accidents IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: One of the aims of the development and spread of autonomous driving technology is to reduce traffic accidents caused by human factors. But recently reported data on fatal … |
Xudong Zhang; Yan Cai; | Proceedings of the 32nd ACM SIGSOFT International Symposium … | 2023-07-12 |
| 844 | Automatic Generation of Semantic Parts for Face Image Synthesis Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we describe a network architecture to address the problem of automatically manipulating or generating the shape of object classes in semantic segmentation masks, with specific focus on human faces. |
Tomaso Fontanini; Claudio Ferrari; Massimo Bertozzi; Andrea Prati; | arxiv-cs.CV | 2023-07-11 |
| 845 | Parametric Depth Based Feature Representation Learning for Object Detection and Segmentation in Bird’s-Eye View Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recent vision-only perception models for autonomous driving achieved promising results by encoding multi-view image features into Bird’s-Eye-View (BEV) space. A critical step and … |
Jiayu Yang; Enze Xie; Miaomiao Liu; J. Álvarez; | 2023 IEEE/CVF International Conference on Computer Vision … | 2023-07-09 |
| 846 | Parametric Depth Based Feature Representation Learning for Object Detection and Segmentation in Bird’s Eye View Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In contrast, we propose to use parametric depth distribution modeling for feature transformation. |
Jiayu Yang; Enze Xie; Miaomiao Liu; Jose M. Alvarez; | arxiv-cs.CV | 2023-07-09 |
| 847 | VSTAR: A Video-grounded Dialogue Dataset for Situated Semantic Understanding with Scene and Topic Transitions Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present Video-grounded Scene&Topic AwaRe dialogue (VSTAR) dataset, a large scale video-grounded dialogue understanding dataset based on 395 TV series. |
YUXUAN WANG et. al. | acl | 2023-07-08 |
| 848 | Spherical Feature Pyramid Networks For Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Inspired by the success of feature pyramid networks (FPNs) in planar image segmentation, we leverage the pyramidal hierarchy of graph-based spherical CNNs to design spherical FPNs. |
Thomas Walker; Varun Anand; Pavlos Andreadis; | arxiv-cs.CV | 2023-07-05 |
| 849 | Prompting Diffusion Representations for Cross-Domain Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce a scene prompt and a prompt randomization strategy to help further disentangle the domain-invariant information when training the segmentation head. |
Rui Gong; Martin Danelljan; Han Sun; Julio Delgado Mangas; Luc Van Gool; | arxiv-cs.CV | 2023-07-05 |
| 850 | Depth-Aware Feature Pyramid Network for Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Object segmentation based on multi-sensor fusion is a critical technique in autonomous vehicles, providing several benefits, including increased accuracy, robustness to adverse … |
Taehyeong Kim; Se-Hoon Park; Kyungtaek Lee; | 2023 Fourteenth International Conference on Ubiquitous and … | 2023-07-04 |
| 851 | Extended U-Net for Satellite Image Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper, we propose an extended model of encoder-decoder structure using U-Net to improve accuracy in satellite image semantic segmentation. The U-Net is a deep … |
Jin-won Jung; Yoan Shin; | 2023 Fourteenth International Conference on Ubiquitous and … | 2023-07-04 |
| 852 | MPNet: Multiscale Predictions Based on Feature Pyramid Network for Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation is a complex topic where they assign each pixel of an image with a corresponding class and demand accuracy at objective boundaries. The method plays a vital … |
Q. V. Toan; Min Young Kim; | 2023 Fourteenth International Conference on Ubiquitous and … | 2023-07-04 |
| 853 | Segment Anything Meets Point Tracking IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper presents SAM-PT, a novel method for point-centric interactive video segmentation, empowered by SAM and long-term point tracking. |
FRANO RAJIČ et. al. | arxiv-cs.CV | 2023-07-03 |
| 854 | Hierarchical Open-vocabulary Universal Image Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a decoupled text-image fusion mechanism and representation learning modules for both things and stuff. |
XUDONG WANG et. al. | arxiv-cs.CV | 2023-07-03 |
| 855 | RefSAM: Efficiently Adapting Segmenting Anything Model for Referring Video Object Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper presents the RefSAM model, which explores the potential of SAM for RVOS by incorporating multi-view information from diverse modalities and successive frames at different timestamps in an online manner. |
Yonglin Li; Jing Zhang; Xiao Teng; Long Lan; Xinwang Liu; | arxiv-cs.CV | 2023-07-03 |
| 856 | CGAM: Click-Guided Attention Module for Interactive Pathology Image Segmentation Via Backpropagating Refinement Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, we propose an interactive segmentation method that allows users to refine the output of deep neural networks through click-type user interactions. |
Seonghui Min; Won-Ki Jeong; | arxiv-cs.CV | 2023-07-03 |
| 857 | Cross-Modal Recurrent Semantic Comprehension for Referring Image Segmentation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Referring image segmentation aims to segment the target object from the image according to the description of language expression. Due to the diversity of language expressions, … |
CHAO SHANG et. al. | IEEE Transactions on Circuits and Systems for Video … | 2023-07-01 |
| 858 | Weakly Supervised Few-Shot and Zero-Shot Semantic Segmentation with Mean Instance Aware Prompt Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The existing Zero-Shot Segmentation (ZSS) and Few-Shot Segmentation (FSS) methods utilize fully supervised pixel-labeled seen classes to segment unseen classes. Pixel-level labels … |
Prashant Pandey; Mustafa Chasmai; Monish Natarajan; Brejesh Lall; | 2023 IEEE International Conference on Multimedia and Expo … | 2023-07-01 |
| 859 | Summary of The 2023 Low-Power Deep Learning Object Detection and Semantic Segmentation Multitask Model Compression Competition for Traffic Scene in Asian Countries Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The competition endeavors to accomplish object detection and semantic segmentation traffic objects in Asia, notably in countries such as Taiwan, using low power while achieving a … |
YU-SHU NI et. al. | 2023 IEEE International Conference on Multimedia and Expo … | 2023-07-01 |
| 860 | Soccer Pitch Areas Segmentation with Hierarchical U-Net on The SoccerNet Dataset Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Soccer video analysis is a challenging area of research in computer vision. Several soccer video analysis systems exist for tasks such as player detection and tracking, player … |
Miguel Santos Marques; Ricardo Gomes Faria; Pedro Santos; José Henrique Brito; | 2023 15th International Conference on Electronics, … | 2023-06-29 |
| 861 | SegCLIP: Patch Aggregation with Learnable Centers for Open-Vocabulary Semantic Segmentation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a CLIP-based model named SegCLIP for the topic of open-vocabulary segmentation in an annotation-free manner. |
Huaishao Luo; Junwei Bao; Youzheng Wu; Xiaodong He; Tianrui Li; | icml | 2023-06-27 |
| 862 | Semantic Segmentation Using Super Resolution Technique As Pre-Processing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This work integrates the technique of image super resolution to semantic segmentation for document image binarization. |
Chih-Chia Chen; Wei-Han Chen; Jen-Shiun Chiang; Chun-Tse Chien; Tingkai Chang; | arxiv-cs.CV | 2023-06-27 |
| 863 | GraSS: Contrastive Learning with Gradient Guided Sampling Strategy for Remote Sensing Image Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: It introduces a feature adaptation bias when applied to semantic segmentation tasks that require pixel-level or object-level features. In this study, We observed that the discrimination information can be mapped to specific regions in RSI through the gradient of unsupervised contrastive loss, these specific regions tend to contain singular ground objects. |
ZHAOYANG ZHANG et. al. | arxiv-cs.LG | 2023-06-27 |
| 864 | Open-Vocabulary Universal Image Segmentation with MaskCLIP IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we tackle an emerging computer vision task, open-vocabulary universal image segmentation, that aims to perform semantic/instance/panoptic segmentation (background semantic labeling + foreground instance segmentation) for arbitrary categories of text-based descriptions in inference time. |
Zheng Ding; Jieke Wang; Zhuowen Tu; | icml | 2023-06-27 |
| 865 | SSC-RS: Elevate LiDAR Semantic Scene Completion with Representation Separation and BEV Fusion IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose to solve outdoor SSC from the perspective of representation separation and BEV fusion. |
JIANBIAO MEI et. al. | arxiv-cs.CV | 2023-06-27 |
| 866 | CasFusionNet: A Cascaded Network for Point Cloud Semantic Scene Completion By Dense Feature Fusion IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In our work, we present CasFusionNet, a novel cascaded network for point cloud semantic scene completion by dense feature fusion. |
JINFENG XU et. al. | aaai | 2023-06-26 |
| 867 | Progressive Neighborhood Aggregation for Semantic Segmentation Refinement Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we investigate a progressive neighborhood aggregation (PNA) framework to refine the semantic segmentation prediction, resulting in an end-to-end solution that can perform the coarse prediction and refinement in a unified network. |
Ting Liu; Yunchao Wei; Yanning Zhang; | aaai | 2023-06-26 |
| 868 | Few-Shot 3D Point Cloud Semantic Segmentation Via Stratified Class-Specific Attention Based Transformer Network Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we further address these problems by developing a new multi-layer transformer network for few-shot point cloud semantic segmentation. |
Canyu Zhang; Zhenyao Wu; Xinyi Wu; Ziyu Zhao; Song Wang; | aaai | 2023-06-26 |
| 869 | Superpoint Transformer for 3D Scene Instance Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, these non-straightforward methods suffer from two drawbacks: 1) Imprecise bounding boxes or unsatisfactory semantic predictions limit the performance of the overall 3D instance segmentation framework. 2) Existing method requires a time-consuming intermediate step of aggregation. To address these issues, this paper proposes a novel end-to-end 3D instance segmentation method based on Superpoint Transformer, named as SPFormer. |
Jiahao Sun; Chunmei Qing; Junpeng Tan; Xiangmin Xu; | aaai | 2023-06-26 |
| 870 | Semantic-Aware Superpixel for Weakly Supervised Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we explore a self-supervised vision transformer to mitigate the heavy efforts on generation of pixel-level annotations. |
Sangtae Kim; Daeyoung Park; Byonghyo Shim; | aaai | 2023-06-26 |
| 871 | CCQ: Cross-Class Query Network for Partially Labeled Organ Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, existing algorithms of multi-organ segmentation on partially-labeled datasets neglect the semantic relations and anatomical priors between different categories of organs, which is crucial for partially-labeled multi-organ segmentation. In this paper, we tackle the limitations above by proposing the Cross-Class Query Network (CCQ). |
Xuyang Liu; Bingbing Wen; Sibei Yang; | aaai | 2023-06-26 |
| 872 | Geometry-Aware Network for Domain Adaptive Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a novel Geometry-Aware Network for Domain Adaptation (GANDA), leveraging more compact 3D geometric point cloud representations to shrink the domain gaps. |
YINGHONG LIAO et. al. | aaai | 2023-06-26 |
| 873 | Exploit Domain-Robust Optical Flow in Domain Adaptive Video Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we try to find a domain-robust clue to construct more reliable supervision signals. |
Yuan Gao; Zilei Wang; Jiafan Zhuang; Yixin Zhang; Junjie Li; | aaai | 2023-06-26 |
| 874 | Learning Context-Aware Classifier for Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Different from the mainstream literature where the efficacy of strong backbones and effective decoder heads has been well studied, in this paper, additional contextual hints are instead exploited via learning a context-aware classifier whose content is data-conditioned, decently adapting to different latent distributions. |
ZHUOTAO TIAN et. al. | aaai | 2023-06-26 |
| 875 | Towards Global Video Scene Segmentation with Context-Aware Transformer IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To this end, we introduce a novel Context-Aware Transformer (CAT) with a self-supervised learning framework to learn high-quality shot representations, for generating well-bounded scenes. |
Yang Yang; Yurui Huang; Weili Guo; Baohua Xu; Dingyin Xia; | aaai | 2023-06-26 |
| 876 | Video Object of Interest Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we present a new computer vision task named video object of interest segmentation (VOIS). |
SIYUAN ZHOU et. al. | aaai | 2023-06-26 |
| 877 | Rethinking Alignment and Uniformity in Unsupervised Image Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we address the critical properties from the view of feature alignments and feature uniformity for UISS models. |
DAOAN ZHANG et. al. | aaai | 2023-06-26 |
| 878 | Improving Panoptic Segmentation for Nighttime or Low-Illumination Urban Driving Scenes Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose two new methods, first to improve the performance, and second to improve the robustness of panoptic segmentation in nighttime or poor illumination urban driving scenes using a domain translation approach. |
Ankur Chrungoo; | arxiv-cs.CV | 2023-06-23 |
| 879 | OpenMask3D: Open-Vocabulary 3D Instance Segmentation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: While such a representation can be directly employed to perform semantic segmentation, existing methods cannot separate multiple object instances. In this work, we address this limitation, and propose OpenMask3D, which is a zero-shot approach for open-vocabulary 3D instance segmentation. |
AYÇA TAKMAZ et. al. | arxiv-cs.CV | 2023-06-23 |
| 880 | 3DSAM-adapter: Holistic Adaptation of SAM from 2D to 3D for Promptable Tumor Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a novel adaptation method for transferring SAM from 2D to 3D for promptable medical image segmentation. |
SHIZHAN GONG et. al. | arxiv-cs.CV | 2023-06-23 |
| 881 | Towards Reliable Evaluation and Fast Training of Robust Semantic Segmentation Models Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose several problem-specific novel attacks minimizing different metrics in accuracy and mIoU. |
Francesco Croce; Naman D Singh; Matthias Hein; | arxiv-cs.CV | 2023-06-22 |
| 882 | Using Super-resolution for Enhancing Visual Perception and Segmentation Performance in Veterinary Cytology Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The primary objective of this research was to enhance the quality of semantic segmentation in cytology images by incorporating super-resolution (SR) architectures. |
JAKUB CAPUTA et. al. | arxiv-cs.CV | 2023-06-20 |
| 883 | Primitive Generation and Semantic-related Alignment for Universal Zero-Shot Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce a generative model to synthesize features for unseen categories, which links semantic and visual spaces as well as addresses the issue of lack of unseen training data. |
Shuting He; Henghui Ding; Wei Jiang; | arxiv-cs.CV | 2023-06-19 |
| 884 | DCCaps-UNet: A U-Shaped Hyperspectral Semantic Segmentation Model Based on The Depthwise Separable and Conditional Convolution Capsule Network Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Traditional hyperspectral image semantic segmentation algorithms can not fully utilize the spatial information or realize efficient segmentation with less sample data. In order to … |
SIQI WEI et. al. | Remote. Sens. | 2023-06-19 |
| 885 | A Generative Data Augmentation Trained By Low-quality Annotations for Cholangiocarcinoma Hyperspectral Image Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Microscopic hyperspectral imaging technology combined with deep learning method emerges medical field recently as a multiplexed imaging technology. With the semantic segmentation … |
KAIJIE DAI et. al. | 2023 International Joint Conference on Neural Networks … | 2023-06-18 |
| 886 | Neural Network-based Fast Liver Ultrasound Image Segmentation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Ultrasound is quite popular among the clinicians’ fraternity, because the machine is cheap, easy to use, and mobile. However, the image is not that easy to study properly, if the … |
Mohammed Yusuf Ansari; Iffa Afsa Changaai Mangalote; Dima Masri; S. Dakua; | 2023 International Joint Conference on Neural Networks … | 2023-06-18 |
| 887 | Cerebral Thrombus Segmentation in CT Angiography Using Refinement Segmentation Network with Context Pooling Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Cerebral thrombus segmentation from Computed Tomography Angiography (CTA) images is significant for accurate diagnosis in acute ischemic stroke. Automatic medical image … |
JI LIANG et. al. | 2023 International Joint Conference on Neural Networks … | 2023-06-18 |
| 888 | SegQNAS: Quantum-inspired Neural Architecture Search Applied to Medical Image Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation can be applied to a wide range of applications. One of the most interesting is medical image analysis. Applying semantic segmentation techniques in that … |
Guilherme Carlos; Karla Figueiredo; A. Hussain; M. Vellasco; | 2023 International Joint Conference on Neural Networks … | 2023-06-18 |
| 889 | DRSU-net: Depth-Residual Separable U-net Model for Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In recent years, semantic segmentation has become an increasingly important task in computer vision, with numerous applications in image analysis and object recognition. One … |
Mohamed Arbane; Mohamed Essaid Khanouche; G. Khodabandelou; A. Chibani; Y. Amirat; | 2023 International Joint Conference on Neural Networks … | 2023-06-18 |
| 890 | Defending Against Poisoning Attacks in Aerial Image Semantic Segmentation with Robust Invariant Feature Enhancement Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The outstanding performance of deep neural networks (DNNs) in multiple computer vision in recent years has promoted its widespread use in aerial image semantic segmentation. … |
Zhen Wang; Buhong Wang; Chuanlei Zhang; Yaohui Liu; Jianxin Guo; | Remote. Sens. | 2023-06-17 |
| 891 | Benchmarking Deep Learning Architectures for Urban Vegetation Point Cloud Semantic Segmentation from MLS Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Therefore, selection of a deep learning model for vegetation points segmentation is ambiguous. To address this problem, we provide a comprehensive assessment of point-based deep learning models for semantic segmentation of vegetation class. |
Aditya Aditya; Bharat Lohani; Jagannath Aryal; Stephan Winter; | arxiv-cs.CV | 2023-06-17 |
| 892 | Network Adaptation for Color Image Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View |
Taeg-Hyun An; Jungyu Kang; K. Min; | IET Image Process. | 2023-06-15 |
| 893 | Low-Resource White-Box Semantic Segmentation of Supporting Towers on 3D Point Clouds Via Signature Shape Identification Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose SCENE-Net, a low-resource white-box model for 3D point cloud semantic segmentation. |
DIOGO LAVADO et. al. | arxiv-cs.CV | 2023-06-13 |
| 894 | Compositor: Bottom-up Clustering and Compositing for Robust Part and Object Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we present a robust approach for joint part and object segmentation. |
Ju He; Jieneng Chen; Ming-Xian Lin; Qihang Yu; Alan Yuille; | arxiv-cs.CV | 2023-06-12 |
| 895 | 3rd Place Solution for PVUW Challenge 2023: Video Panoptic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In order to deal with the task of video panoptic segmentation in the wild, we propose a robust integrated video panoptic segmentation solution. |
Jinming Su; Wangwang Yang; Junfeng Luo; Xiaolin Wei; | arxiv-cs.CV | 2023-06-11 |
| 896 | AerialFormer: Multi-resolution Transformer for Aerial Image Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Aerial Image Segmentation is a top-down perspective semantic segmentation and has several challenging characteristics such as strong imbalance in the foreground-background distribution, complex background, intra-class heterogeneity, inter-class homogeneity, and tiny objects. To handle these problems, we inherit the advantages of Transformers and propose AerialFormer, which unifies Transformers at the contracting path with lightweight Multi-Dilated Convolutional Neural Networks (MD-CNNs) at the expanding path. |
KASHU YAMAZAKI et. al. | arxiv-cs.CV | 2023-06-11 |
| 897 | Thermal Infrared Image Semantic Segmentation for Night-time Driving Scenes Based on Deep Learning Related Papers Related Patents Related Grants Related Venues Related Experts View |
B. Maheswari; S. R. Reeja; | Multimedia Tools and Applications | 2023-06-10 |
| 898 | Towards Label-free Scene Understanding By Vision Foundation Models IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we investigate the potential of vision foundation models in enabling networks to comprehend 2D and 3D worlds without labelled data. |
RUNNAN CHEN et. al. | arxiv-cs.CV | 2023-06-06 |
| 899 | DFormer: Diffusion-guided Transformer for Universal Image Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper introduces an approach, named DFormer, for universal image segmentation. |
HEFENG WANG et. al. | arxiv-cs.CV | 2023-06-06 |
| 900 | SGAT4PASS: Spherical Geometry-Aware Transformer for PAnoramic Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To be more robust to 3D disturbance, we propose our Spherical Geometry-Aware Transformer for PAnoramic Semantic Segmentation (SGAT4PASS), considering 3D spherical geometry knowledge. |
XUEWEI LI et. al. | arxiv-cs.CV | 2023-06-06 |
| 901 | Conditional Diffusion Models for Weakly Supervised Medical Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Observing that conditional diffusion models (CDM) is capable of generating images subject to specific distributions, in this work, we utilize category-aware semantic information underlied in CDM to get the prediction mask of the target object with only image-level annotations. |
Xinrong Hu; Yu-Jen Chen; Tsung-Yi Ho; Yiyu Shi; | arxiv-cs.CV | 2023-06-06 |
| 902 | Semantic Segmentation on VSPW Dataset Through Contrastive Loss and Multi-dataset Training Approach Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents the winning solution of the CVPR2023 workshop for video semantic segmentation, focusing on enhancing Spatial-Temporal correlations with contrastive loss. |
Min Yan; Qianxiong Ning; Qian Wang; | arxiv-cs.CV | 2023-06-06 |
| 903 | Expert-driven Rule-based Refinement of Semantic Segmentation Maps for Autonomous Vehicles Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation aims at assigning labels to every pixel of a given image. In the context of autonomous vehicles, semantic segmentation models should be trained with data … |
Eric L. Manibardo; I. Laña; Javier Del Ser; Alexander Carballo; K. Takeda; | 2023 IEEE Intelligent Vehicles Symposium (IV) | 2023-06-04 |
| 904 | Cross-CBAM: A Lightweight Network for Scene Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present the Cross-CBAM network, a novel lightweight network for real-time semantic segmentation. |
Zhengbin Zhang; Zhenhao Xu; Xingsheng Gu; Juan Xiong; | arxiv-cs.CV | 2023-06-04 |
| 905 | Domain Adaptation in LiDAR Semantic Segmentation Via Hybrid Learning with Alternating Skip Connections Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper we address the challenging problem of domain adaptation in LiDAR semantic segmentation. We consider the setting where we have a fully-labeled data set from source … |
EDUARDO R. CORRAL-SOTO et. al. | 2023 IEEE Intelligent Vehicles Symposium (IV) | 2023-06-04 |
| 906 | 3rd Place Solution for PVUW2023 VSS Track: A Large Model for Semantic Segmentation on VSPW Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we introduce 3rd place solution for PVUW2023 VSS track. |
SHIJIE CHANG et. al. | arxiv-cs.CV | 2023-06-04 |
| 907 | A Unified Semantic Segmentation and Object Detection Framework for Synthetic Aperture Sonar Imagery Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Manually identifying objects in synthetic aperture sonar (SAS) imagery is costly and time consuming, making identification through computer vision and deep learning techniques an … |
Shannon-Morgan Steele; | 2023 IEEE International Conference on Acoustics, Speech, … | 2023-06-04 |
| 908 | Open-world Driving Scene Segmentation Via Multi-stage and Multi-modality Fusion of Vision-language Embedding Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this study, a pixel-text level multi-stage multi-modality fusion segmentation method is proposed to make the open-world driving scene segmentation more efficient. It can be … |
YINGJIE NIU et. al. | 2023 IEEE Intelligent Vehicles Symposium (IV) | 2023-06-04 |
| 909 | Segment Anything Meets Semantic Communication IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: By employing SAM’s segmentation capability and lightweight neural network architecture for semantic coding, we propose a practical approach to semantic communication. |
Shehbaz Tariq; Brian Estadimas Arfeto; Chaoning Zhang; Hyundong Shin; | arxiv-cs.CV | 2023-06-03 |
| 910 | Content-aware Token Sharing for Efficient Semantic Segmentation with Vision Transformers IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper introduces Content-aware Token Sharing (CTS), a token reduction approach that improves the computational efficiency of semantic segmentation networks that use Vision Transformers (ViTs). |
Chenyang Lu; Daan de Geus; Gijs Dubbelman; | arxiv-cs.CV | 2023-06-03 |
| 911 | Denoising Diffusion Semantic Segmentation with Mask Prior Modeling IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose to ameliorate the semantic segmentation quality of existing discriminative approaches with a mask prior modeled by a recently-developed denoising diffusion generative model. |
ZEQIANG LAI et. al. | arxiv-cs.CV | 2023-06-02 |
| 912 | SACA-UNet:Medical Image Segmentation Network Based on Self-Attention and ASPP IF:6 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In recent years, deep learning based techniques have been successfully applied to medical image segmentation, which plays an important role in intelligent lesion analysis and … |
Gaojuan Fan; Jie Wang; Chongsheng Zhang; | 2023 IEEE 36th International Symposium on Computer-Based … | 2023-06-01 |
| 913 | Exploring Open-Vocabulary Semantic Segmentation Without Human Labels IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, existing approaches often rely on expensive human annotations as supervision for model training, limiting their scalability to large, unlabeled datasets. To address this challenge, we present ZeroSeg, a novel method that leverages the existing pretrained vision-language (VL) model (e.g. CLIP) to train open-vocabulary zero-shot semantic segmentation models. |
JUN CHEN et. al. | arxiv-cs.CV | 2023-06-01 |
| 914 | Sparse Multimodal Vision Transformer for Weakly Supervised Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Vision Transformers have proven their versatility and utility for complex computer vision tasks, such as land cover segmentation in remote sensing applications. While performing … |
Joelle Hanna; Michael Mommert; Damian Borth; | 2023 IEEE/CVF Conference on Computer Vision and Pattern … | 2023-06-01 |
| 915 | 2D Semantic Segmentation: Recent Developments and Future Directions Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation is a critical task in computer vision that aims to assign each pixel in an image a corresponding label on the basis of its semantic content. This task is … |
Yu Guo; Guigen Nie; Wenliang Gao; Mi Liao; | Future Internet | 2023-06-01 |
| 916 | Multi-view Semantic Information Guidance for Light Field Image Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: One of the great important fields of computer vision is semantic segmentation. As for single image semantic segmentation, due to limited available information, it appears poor … |
YIMING LI et. al. | 2023 IEEE/CVF Conference on Computer Vision and Pattern … | 2023-06-01 |
| 917 | Localization-Enhanced Voting-based Ensemble of Semantic Segmentation Models for Cervical Polyp Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper, we propose an automated cervical polyp detection method based on semantic segmentation and ensemble learning. As polyps may cause cancer both in the colon and … |
Norbert Serban; B. Harangi; | 2023 IEEE 36th International Symposium on Computer-Based … | 2023-06-01 |
| 918 | DeepMerge: Deep-Learning-Based Region-Merging for Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a modified binary tree sampling method to generate shift-scale data, serving as inputs for transformer-based deep learning networks, a shift-scale attention with 3-Dimension relative position embedding to learn features across scales, and an embedding to fuse learned features with hand-crafted features. |
XIANWEI LV et. al. | arxiv-cs.CV | 2023-05-31 |
| 919 | NeRFing It: Offline Object Segmentation Through Implicit Modeling Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Most recently proposed methods for robotic per-ception are based on deep learning, which require very large datasets to perform well. The accuracy of a learned model is mainly … |
Kenneth Blomqvist; Jen Jen Chung; Lionel Ott; R. Siegwart; | 2023 IEEE International Conference on Robotics and … | 2023-05-29 |
| 920 | Few-Shot Rotation-Invariant Aerial Image Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Abstract: Few-shot aerial image semantic segmentation is a challenging task that requires precisely parsing unseen-category objects in query aerial images with limited annotated support … |
Qinglong Cao; Yuntian Chen; Chao Ma; Xiaokang Yang; | IEEE Transactions on Geoscience and Remote Sensing | 2023-05-29 |
| 921 | Combining Motion and Appearance for Robust Probabilistic Object Segmentation in Real Time Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We present a robust method to visually segment scenes into objects based on motion and appearance. Both these cues provide complementary information that we fuse using two … |
Vito Mengers; Aravind Battaje; Manuel Baum; O. Brock; | 2023 IEEE International Conference on Robotics and … | 2023-05-29 |
| 922 | Radar Velocity Transformer: Single-scan Moving Object Segmentation in Noisy Radar Point Clouds Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The awareness about moving objects in the surroundings of a self-driving vehicle is essential for safe and reliable autonomous navigation. The interpretation of LiDAR and camera … |
M. ZELLER et. al. | 2023 IEEE International Conference on Robotics and … | 2023-05-29 |
| 923 | Multi-Pooling Context Network for Image Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the development of image segmentation technology, image context information plays an increasingly important role in semantic segmentation. However, due to the complexity of … |
QING LIU et. al. | Remote. Sens. | 2023-05-28 |
| 924 | SSSegmenation: An Open Source Supervised Semantic Segmentation Toolbox Based on PyTorch Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper presents SSSegmenation, which is an open source supervised semantic image segmentation toolbox based on PyTorch. |
Zhenchao Jin; | arxiv-cs.CV | 2023-05-26 |
| 925 | PEARL: Preprocessing Enhanced Adversarial Robust Learning of Image Deraining for Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we present the first attempt to improve the robustness of semantic segmentation tasks by simultaneously handling different types of degradation factors. |
XIANGHAO JIAO et. al. | arxiv-cs.CV | 2023-05-25 |
| 926 | Saint Petersburg 3D: Creating A Large-Scale Hybrid Mobile LiDAR Point Cloud Dataset for Geospatial Applications Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: At the present time, many publicly available point cloud datasets exist, which are mainly focused on autonomous driving. The objective of this study is to develop a new … |
S. LYTKIN et. al. | Remote. Sens. | 2023-05-24 |
| 927 | Semantic Segmentation By Semantic Proportions Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel approach for semantic segmentation, requiring the rough information of individual semantic class proportions, shortened as semantic proportions, rather than the necessity of ground-truth segmentation maps. |
Halil Ibrahim Aysel; Xiaohao Cai; Adam Prügel-Bennett; | arxiv-cs.CV | 2023-05-24 |
| 928 | Prototype Adaption and Projection for Few- and Zero-shot 3D Point Cloud Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we address the challenging task of few-shot and zero-shot 3D point cloud semantic segmentation. |
Shuting He; Xudong Jiang; Wei Jiang; Henghui Ding; | arxiv-cs.CV | 2023-05-23 |
| 929 | Mixup-Privacy: A Simple Yet Effective Approach for Privacy-preserving Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Here, we propose a client-server image segmentation system which allows for the analysis of multi-centric medical images while preserving patient privacy. |
Bach Kim; Jose Dolz; Pierre-Marc Jodoin; Christian Desrosiers; | arxiv-cs.CV | 2023-05-23 |
| 930 | SeTGAN: Semantic‐text Guided Face Image Generation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this article, we propose a method to jointly control face image generation through semantic segmentation maps and text. Existing semantic segmentation maps lack detailed face … |
Ran Wei; Pengjie Wang; | Computer Animation and Virtual Worlds | 2023-05-23 |
| 931 | Uncertainty-based Detection of Adversarial Attacks in Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we introduce an uncertainty-based approach for the detection of adversarial attacks in semantic segmentation. |
Kira Maag; Asja Fischer; | arxiv-cs.CV | 2023-05-22 |
| 932 | VL-Fields: Towards Language-Grounded Neural Implicit Spatial Representations IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present Visual-Language Fields (VL-Fields), a neural implicit spatial representation that enables open-vocabulary semantic queries. |
Nikolaos Tsagkas; Oisin Mac Aodha; Chris Xiaoxuan Lu; | arxiv-cs.CV | 2023-05-21 |
| 933 | Semantic-guided Modeling of Spatial Relation and Object Co-occurrence for Indoor Scene Recognition Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: 2) They often overlook the differences in coexisting objects across different scenes, suppressing scene recognition performance. To overcome these limitations, we propose SpaCoNet, which simultaneously models Spatial relation and Co-occurrence of objects guided by semantic segmentation. |
Chuanxin Song; Hanbo Wu; Xin Ma; | arxiv-cs.CV | 2023-05-21 |
| 934 | CM-MaskSD: Cross-Modality Masked Self-Distillation for Referring Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To achieve effective and efficient fine-grained feature alignment in the RIS task, we explore the potential of masked multimodal modeling coupled with self-distillation and propose a novel cross-modality masked self-distillation framework named CM-MaskSD, in which our method inherits the transferred knowledge of image-text semantic alignment from CLIP model to realize fine-grained patch-word feature alignment for better segmentation accuracy. |
WENXUAN WANG et. al. | arxiv-cs.CV | 2023-05-19 |
| 935 | Domain Adaptive Sim-to-Real Segmentation of Oropharyngeal Organs Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose a domain adaptive Sim-to-Real framework called IoU-Ranking Blend-ArtFlow (IRB-AF) for image segmentation of oropharyngeal organs. |
Guankun Wang; Tian-Ao Ren; Jiewen Lai; Long Bai; Hongliang Ren; | arxiv-cs.AI | 2023-05-18 |
| 936 | IFSeg: Image-Free Semantic Segmentation Via Vision-Language Model IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we introduce a novel image-free segmentation task where the goal is to perform semantic segmentation given only a set of the target semantic categories, but without any task-specific images and annotations. |
Sukmin Yun; Seong Hyeon Park; Paul Hongsuck Seo; Jinwoo Shin; | cvpr | 2023-05-17 |
| 937 | Semi-Weakly Supervised Object Kinematic Motion Prediction Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we tackle the task of object kinematic motion prediction problem in a semi-weakly supervised manner. |
GENGXIN LIU et. al. | cvpr | 2023-05-17 |
| 938 | On Calibrating Semantic Segmentation Models: Analyses and An Algorithm IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We provide a systematic study on the calibration of semantic segmentation models and propose a simple yet effective approach. |
Dongdong Wang; Boqing Gong; Liqiang Wang; | cvpr | 2023-05-17 |
| 939 | Interactive Segmentation of Radiance Fields IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present the ISRF method to interactively segment objects with fine structure and appearance. |
Rahul Goel; Dhawal Sirikonda; Saurabh Saini; P. J. Narayanan; | cvpr | 2023-05-17 |
| 940 | PeakConv: Learning Peak Receptive Field for Radar Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In classic radar signal processing, the object signature is detected according to a local peak response, i.e., CFAR detection. Inspired by this idea, we redefine the receptive field of the convolution operation as the peak receptive field (PRF) and propose the peak convolution operation (PeakConv) to learn the object signatures in an end-to-end network. |
LIWEN ZHANG et. al. | cvpr | 2023-05-17 |
| 941 | Improving Robustness of Semantic Segmentation to Motion-Blur Using Class-Centric Augmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Most research has focused on improving segmentation performance for sharp clean images and the few works that deal with degradations, consider motion-blur as one of many generic degradations. In this work, we focus exclusively on motion-blur and attempt to achieve robustness for semantic segmentation in its presence. |
A. N. Rajagopalan; | cvpr | 2023-05-17 |
| 942 | Combining Implicit-Explicit View Correlation for Light Field Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel network called LF-IENet for light field semantic segmentation. |
RUIXUAN CONG et. al. | cvpr | 2023-05-17 |
| 943 | CLIP-S4: Language-Guided Self-Supervised Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we present CLIP-S^4 that leverages self-supervised pixel representation learning and vision-language models to enable various semantic segmentation tasks (e.g., unsupervised, transfer learning, language-driven segmentation) without any human annotations and unknown class information. |
Wenbin He; Suphanut Jamonnak; Liang Gou; Liu Ren; | cvpr | 2023-05-17 |
| 944 | FREDOM: Fairness Domain Adaptation Approach to Semantic Scene Understanding IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a novel Fairness Domain Adaptation (FREDOM) approach to semantic scene segmentation. |
Thanh-Dat Truong; Ngan Le; Bhiksha Raj; Jackson Cothren; Khoa Luu; | cvpr | 2023-05-17 |
| 945 | Novel Class Discovery for 3D Point Cloud Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper is presented to advance the state of the art on point cloud data analysis in four directions. |
Luigi Riz; Cristiano Saltori; Elisa Ricci; Fabio Poiesi; | cvpr | 2023-05-17 |
| 946 | ACSeg: Adaptive Conceptualization for Unsupervised Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we investigate the pixel-level semantic aggregation in self-supervised ViT pre-trained models as image Segmentation and propose the Adaptive Conceptualization approach for USS, termed ACSeg. |
KEHAN LI et. al. | cvpr | 2023-05-17 |
| 947 | Learning To Generate Text-Grounded Mask for Open-World Semantic Segmentation From Only Image-Text Pairs IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we proposed a novel Text-grounded Contrastive Learning (TCL) framework that enables a model to directly learn region-text alignment. |
Junbum Cha; Jonghwan Mun; Byungseok Roh; | cvpr | 2023-05-17 |
| 948 | Decoupled Semantic Prototypes Enable Learning From Diverse Annotation Types for Semi-Weakly Segmentation in Expert-Driven Domains Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we analyze existing training algorithms towards their flexibility for different annotation types and scalability to small annotation regimes. |
Simon Reiß; Constantin Seibold; Alexander Freytag; Erik Rodner; Rainer Stiefelhagen; | cvpr | 2023-05-17 |
| 949 | Devil Is in The Queries: Advancing Mask Transformers for Real-World Medical Image Segmentation and Out-of-Distribution Localization IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we adopt the concept of object queries in Mask transformers to formulate semantic segmentation as a soft cluster assignment. |
MINGZE YUAN et. al. | cvpr | 2023-05-17 |
| 950 | SegLoc: Learning Segmentation-Based Representations for Privacy-Preserving Visual Localization IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a new localization framework, SegLoc, that leverages image segmentation to create robust, compact, and privacy-preserving scene representations, i.e., 3D maps. |
Maxime Pietrantoni; Martin Humenberger; Torsten Sattler; Gabriela Csurka; | cvpr | 2023-05-17 |
| 951 | Multispectral Video Semantic Segmentation: A Benchmark Dataset and Baseline IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Nevertheless, the present focus in single RGBT image input restricts existing methods from well addressing dynamic real-world scenes. Motivated by the above observations, in this paper, we set out to address a relatively new task of semantic segmentation of multispectral video input, which we refer to as Multispectral Video Semantic Segmentation, or MVSS in short. |
WEI JI et. al. | cvpr | 2023-05-17 |
| 952 | Open Vocabulary Semantic Segmentation With Patch Aligned Contrastive Learning IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce Patch Aligned Contrastive Learning (PACL), a modified compatibility function for CLIP’s contrastive loss, intending to train an alignment between the patch tokens of the vision encoder and the CLS token of the text encoder. |
JISHNU MUKHOTI et. al. | cvpr | 2023-05-17 |
| 953 | Network-Free, Unsupervised Semantic Segmentation With Synthetic Images Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We derive a method that yields highly accurate semantic segmentation maps without the use of any additional neural network, layers, manually annotated training data, or supervised training. |
Qianli Feng; Raghudeep Gadde; Wentong Liao; Eduard Ramon; Aleix Martinez; | cvpr | 2023-05-17 |
| 954 | Generalized Decoding for Pixel, Image, and Language IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present X-Decoder, a generalized decoding model that can predict pixel-level segmentation and language tokens seamlessly. |
XUEYAN ZOU et. al. | cvpr | 2023-05-17 |
| 955 | SCPNet: Semantic Scene Completion on Point Cloud IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To address the above-mentioned problems, we propose the following three solutions: 1) Redesigning the completion network. |
ZHAOYANG XIA et. al. | cvpr | 2023-05-17 |
| 956 | Mask DINO: Towards A Unified Transformer-Based Framework for Object Detection and Segmentation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper we present Mask DINO, a unified object detection and segmentation framework. |
FENG LI et. al. | cvpr | 2023-05-17 |
| 957 | CLIP2Scene: Towards Label-Efficient 3D Scene Understanding By CLIP IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose CLIP2Scene, a simple yet effective framework that transfers CLIP knowledge from 2D image-text pre-trained models to a 3D point cloud network. |
RUNNAN CHEN et. al. | cvpr | 2023-05-17 |
| 958 | UniDAformer: Unified Domain Adaptive Panoptic Segmentation Transformer Via Hierarchical Mask Calibration Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We design UniDAformer, a unified domain adaptive panoptic segmentation transformer that is simple but can achieve domain adaptive instance segmentation and semantic segmentation simultaneously within a single network. |
Jingyi Zhang; Jiaxing Huang; Xiaoqin Zhang; Shijian Lu; | cvpr | 2023-05-17 |
| 959 | Hierarchical Dense Correlation Distillation for Few-Shot Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we design Hierarchically Decoupled Matching Network (HDMNet) mining pixel-level support correlation based on the transformer architecture. |
BOHAO PENG et. al. | cvpr | 2023-05-17 |
| 960 | Delving Into Shape-Aware Zero-Shot Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, translating this success to semantic segmentation is not trivial, because this dense prediction task requires not only accurate semantic understanding but also fine shape delineation and existing vision-language models are trained with image-level language descriptions. To bridge this gap, we pursue shape-aware zero-shot semantic segmentation in this study. |
XINYU LIU et. al. | cvpr | 2023-05-17 |
| 961 | Mask3D: Pre-Training 2D Vision Transformers By Learning Masked 3D Priors Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, to more effectively understand 3D structural priors in 2D backbones, we propose Mask3D to leverage existing large-scale RGB-D data in a self-supervised pre-training to embed these 3D priors into 2D learned feature representations. |
Ji Hou; Xiaoliang Dai; Zijian He; Angela Dai; Matthias Nießner; | cvpr | 2023-05-17 |
| 962 | FreeSeg: Unified, Universal and Open-Vocabulary Image Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Hence in this paper, we propose FreeSeg, a generic framework to accomplish Unified, Universal and Open-Vocabulary Image Segmentation. |
JIE QIN et. al. | cvpr | 2023-05-17 |
| 963 | Unsupervised Continual Semantic Adaptation Through Neural Rendering IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we study continual multi-scene adaptation for the task of semantic segmentation, assuming that no ground-truth labels are available during deployment and that performance on the previous scenes should be maintained. |
ZHIZHENG LIU et. al. | cvpr | 2023-05-17 |
| 964 | ALSO: Automotive Lidar Self-Supervision By Occupancy Estimation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a new self-supervised method for pre-training the backbone of deep perception models operating on point clouds. |
Alexandre Boulch; Corentin Sautier; Björn Michele; Gilles Puy; Renaud Marlet; | cvpr | 2023-05-17 |
| 965 | CoMFormer: Continual Learning in Semantic and Panoptic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present the first continual learning model capable of operating on both semantic and panoptic segmentation. |
Fabio Cermelli; Matthieu Cord; Arthur Douillard; | cvpr | 2023-05-17 |
| 966 | A Simple Framework for Text-Supervised Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper shows that a vanilla contrastive language-image pre-training (CLIP) model is an effective text-supervised semantic segmentor by itself. |
MUYANG YI et. al. | cvpr | 2023-05-17 |
| 967 | OneFormer: One Transformer To Rule Universal Image Segmentation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To that end, we propose OneFormer, a universal image segmentation framework that unifies segmentation with a multi-task train-once design. |
JITESH JAIN et. al. | cvpr | 2023-05-17 |
| 968 | EFEM: Equivariant Neural Field Expectation Maximization for 3D Object Segmentation Without Scene Supervision IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce Equivariant Neural Field Expectation Maximization (EFEM), a simple, effective, and robust geometric algorithm that can segment objects in 3D scenes without annotations or training on scenes. |
Jiahui Lei; Congyue Deng; Karl Schmeckpeper; Leonidas Guibas; Kostas Daniilidis; | cvpr | 2023-05-17 |
| 969 | Compositor: Bottom-Up Clustering and Compositing for Robust Part and Object Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we present a robust approach for joint part and object segmentation. |
Ju He; Jieneng Chen; Ming-Xian Lin; Qihang Yu; Alan L. Yuille; | cvpr | 2023-05-17 |
| 970 | Not All Pixels Are Equal: Learning Pixel Hardness for Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose to learn pixel hardness for semantic segmentation, leveraging hardness information contained in global and historical loss values. |
Xin Xiao; Daiguo Zhou; Jiagao Hu; Yi Hu; Yongchao Xu; | arxiv-cs.CV | 2023-05-15 |
| 971 | Bridging The Domain Gap: Self-Supervised 3D Scene Understanding with Foundation Models IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, their potential to enrich 3D scene representation learning is largely untapped due to the existence of the domain gap. In this work, we propose an innovative methodology called Bridge3D to address this gap by pre-training 3D models using features, semantic masks, and captions sourced from foundation models. |
Zhimin Chen; Longlong Jing; Yingwei Li; Bing Li; | arxiv-cs.CV | 2023-05-15 |
| 972 | SRRM: Semantic Region Relation Model for Indoor Scene Recognition Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose the Semantic Region Relationship Model (SRRM), which starts directly from the semantic information inside the scene. |
Chuanxin Song; Xin Ma; | arxiv-cs.CV | 2023-05-15 |
| 973 | Robust Feature-Guided Generative Adversarial Network for Aerial Image Semantic Segmentation Against Backdoor Attacks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Profiting from the powerful feature extraction and representation capabilities of deep learning (DL), aerial image semantic segmentation based on deep neural networks (DNNs) has … |
Zhen Wang; Buhong Wang; Chuanlei Zhang; Yaohui Liu; Jianxin Guo; | Remote. Sens. | 2023-05-15 |
| 974 | Effect of Bit Depth on Cloud Segmentation of Remote-Sensing Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Due to the cloud coverage of remote-sensing images, the ground object information will be attenuated or even lost, and the texture and spectral information of the image will be … |
Lingcen Liao; W. Liu; Shibin Liu; | Remote. Sens. | 2023-05-12 |
| 975 | Unsupervised Domain Adaptation for Medical Image Segmentation Via Feature-space Density Matching Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents an unsupervised domain adaptation approach for semantic segmentation that alleviates the need for annotating target data. |
Tushar Kataria; Beatrice Knudsen; Shireen Elhabian; | arxiv-cs.CV | 2023-05-09 |
| 976 | Segment Anything Model (SAM) Enhanced Pseudo Labels for Weakly Supervised Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Although these pseudo-labels are class-aware, indicating the coarse regions for particular classes, they are not object-aware and fail to delineate accurate object boundaries. To address this, we introduce a simple yet effective method harnessing the Segment Anything Model (SAM), a class-agnostic foundation model capable of producing fine-grained instance masks of objects, parts, and subparts. |
Tianle Chen; Zheda Mai; Ruiwen Li; Wei-lun Chao; | arxiv-cs.CV | 2023-05-09 |
| 977 | OSTA: One-shot Task-adaptive Channel Selection for Semantic Segmentation of Multichannel Images Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, the concept of pruning from a supernet is used for the first time to integrate the selection of channel combination and the training of a semantic segmentation network. |
Yuanzhi Cai; Jagannath Aryal; Yuan Fang; Hong Huang; Lei Fan; | arxiv-cs.CV | 2023-05-08 |
| 978 | A New Semantic Segmentation Method for Remote Sensing Images Integrating Coordinate Attention and SPD-Conv Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation is an important task for the interpretation of remote sensing images. Remote sensing images are large in size, contain substantial spatial semantic … |
ZIMENG YANG et. al. | Symmetry | 2023-05-08 |
| 979 | Asynchronous Events-based Panoptic Segmentation Using Graph Mixer Neural Network Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In the context of robotic grasping, object segmentation encounters several difficulties when faced with dynamic conditions such as real-time operation, occlusion, low lighting, motion blur, and object size variability. In response to these challenges, we propose the Graph Mixer Neural Network that includes a novel collaborative contextual mixing layer, applied to 3D event graphs formed on asynchronous events. |
Sanket Kachole; Yusra Alkendi; Fariborz Baghaei Naeini; Dimitrios Makris; Yahya Zweiri; | arxiv-cs.CV | 2023-05-05 |
| 980 | Semantic Segmentation Using Vision Transformers: A Survey IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this survey, we discuss some of the different ViT architectures that can be used for semantic segmentation and how their evolution managed the above-stated challenge. |
HANS THISANKE et. al. | arxiv-cs.CV | 2023-05-05 |
| 981 | Point2Tree(P2T) — Framework for Parameter Tuning of Semantic and Instance Segmentation Used with Mobile Laser Scanning Data in Coniferous Forest Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This article introduces Point2Tree, a novel framework that incorporates a three-stage process involving semantic segmentation, instance segmentation, optimization analysis of hyperparemeters importance. |
Maciej Wielgosz; Stefano Puliti; Phil Wilkes; Rasmus Astrup; | arxiv-cs.CV | 2023-05-04 |
| 982 | Scaling-up Remote Sensing Segmentation Dataset with Segment Anything Model IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The success of the Segment Anything Model (SAM) demonstrates the significance of data-centric machine learning. However, due to the difficulties and high costs associated with … |
Di Wang; Jing Zhang; Bo Du; Dacheng Tao; L. Zhang; | ArXiv | 2023-05-03 |
| 983 | RT-K-Net: Revisiting K-Net for Real-Time Panoptic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we revisit the recently introduced K-Net architecture. |
Markus Schön; Michael Buchholz; Klaus Dietmayer; | arxiv-cs.CV | 2023-05-02 |
| 984 | Embedded Control Gate Fusion and Attention Residual Learning for RGB–Thermal Urban Scene Parsing IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The semantic segmentation of road scenes is an important task in autonomous driving. Deep learning has enabled the development of a variety of semantic segmentation networks using … |
Wujie Zhou; Ying Lv; Jingsheng Lei; Lu Yu; | IEEE Transactions on Intelligent Transportation Systems | 2023-05-01 |
| 985 | CLIP-S$^4$: Language-Guided Self-Supervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we present CLIP-S$^4$ that leverages self-supervised pixel representation learning and vision-language models to enable various semantic segmentation tasks (e.g., unsupervised, transfer learning, language-driven segmentation) without any human annotations and unknown class information. |
Wenbin He; Suphanut Jamonnak; Liang Gou; Liu Ren; | arxiv-cs.CV | 2023-05-01 |
| 986 | Semantic Segmentation Guided Pseudo Label Mining and Instance Re-detection for Weakly Supervised Object Detection in Remote Sensing Images IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
Xiaoliang Qian; C. Li; Wei Wang; Xiwen Yao; Gong Cheng; | Int. J. Appl. Earth Obs. Geoinformation | 2023-05-01 |
| 987 | NeiEA-NET: Semantic Segmentation of Large-scale Point Cloud Scene Via Neighbor Enhancement and Aggregation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
YONGYANG XU et. al. | Int. J. Appl. Earth Obs. Geoinformation | 2023-05-01 |
| 988 | A Survey of Weakly-supervised Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Weakly-supervised image semantic segmentation is a popular technology in computer vision and deep learning today. The main goal of weakly-supervised semantic segmentation is to … |
Kaiyin Zhu; Naixue Xiong; Mingming Lu; | 2023 IEEE 9th Intl Conference on Big Data Security on Cloud … | 2023-05-01 |
| 989 | NMNet: Learning Multi-level Semantic Information from Scale Extension Domain for Improved Medical Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View |
E. Song; Bangcheng Zhan; Hong Liu; Coskun Cetinkaya; C. Hung; | Biomed. Signal Process. Control. | 2023-05-01 |
| 990 | Deep-Learning-Based Semantic Segmentation Approach for Point Clouds of Extra-High-Voltage Transmission Lines Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The accurate semantic segmentation of point cloud data is the basis for their application in the inspection of extra high-voltage transmission lines (EHVTL). As deep learning … |
HAOBIN YU et. al. | Remote. Sens. | 2023-04-30 |
| 991 | Class-Aware Contextual Information for Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a CACINet, which consists of a Semantic Affinity Module (SAM) and a Class Association Module (CAM), to generate class-aware contextual information among pixels on a fine-grained level. |
H. Tang; Y. Zhao; Y. Jiang; Z. Gan; Q. Wu; | icassp | 2023-04-27 |
| 992 | Robust Video Object Segmentation with Restricted Attention Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose the Robust Video Object Segmentation With Restricted Attention (RVOSR), which can suppress the effects caused by similar objects and filter out noise confusion from other irrelevant regions. |
H. Zhang; P. Guo; Z. Le; W. Zhang; | icassp | 2023-04-27 |
| 993 | Human Semantic Segmentation Using Millimeter-Wave Radar Sparse Point Clouds Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper presents a framework for semantic segmentation on sparse sequential point clouds of millimeter-wave radar. |
Pengfei Song; Luoyu Mei; Han Cheng; | arxiv-cs.CV | 2023-04-27 |
| 994 | A Review of Panoptic Segmentation for Mobile Mapping Point Clouds Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: The present paper tries to close that gap. |
Binbin Xiang; Yuanwen Yue; Torben Peters; Konrad Schindler; | arxiv-cs.CV | 2023-04-27 |
| 995 | Transadapt: A Transformative Framework for Online Test Time Adaptive Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To tackle online settings, we propose TransAdapt, a framework that uses transformer and input transformations to improve segmentation performance. |
D. DAS et. al. | icassp | 2023-04-27 |
| 996 | FVP: Fourier Visual Prompting for Source-Free Unsupervised Domain Adaptation of Medical Image Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose Fourier Visual Prompting (FVP) for SFUDA of medical image segmentation. |
YAN WANG et. al. | arxiv-cs.CV | 2023-04-26 |
| 997 | Dynamic High-Resolution Network for Semantic Segmentation in Remote-Sensing Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation of remote-sensing (RS) images is one of the most fundamental tasks in the understanding of a remote-sensing scene. However, high-resolution RS images contain … |
Shichen Guo; Qi Yang; Shiming Xiang; Pengfei Wang; Xuezhi Wang; | Remote. Sens. | 2023-04-26 |
| 998 | Customized Segment Anything Model for Medical Image Segmentation IF:5 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose SAMed, a general solution for medical image segmentation. |
Kaidong Zhang; Dong Liu; | arxiv-cs.CV | 2023-04-26 |
| 999 | Track Anything: Segment Anything Meets Videos IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Regarding its strong ability on image segmentation and high interactivity with different prompts, we found that it performs poorly on consistent segmentation in videos. Therefore, in this report, we propose Track Anything Model (TAM), which achieves high-performance interactive tracking and segmentation in videos. |
JINYU YANG et. al. | arxiv-cs.CV | 2023-04-24 |
| 1000 | Input Augmentation with SAM: Boosting Medical Image Segmentation with Segmentation Foundation Model IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: SAM can be viewed as a general perception model for segmentation (partitioning images into semantically meaningful regions). Thus, how to utilize such a large foundation model for medical image segmentation is an emerging research target. |
Yizhe Zhang; Tao Zhou; Shuo Wang; Peixian Liang; Danny Z. Chen; | arxiv-cs.CV | 2023-04-22 |
| 1001 | SACANet: Scene-aware Class Attention Network for Semantic Segmentation of Remote Sensing Images Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we integrate both scene-aware and class attentions to propose a scene-aware class attention network (SACANet) for semantic segmentation of remote sensing images. |
XIAOWEN MA et. al. | arxiv-cs.CV | 2023-04-22 |
| 1002 | Deep Attention Unet: A Network Model with Global Feature Perception Ability Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes a new type of UNet image segmentation algorithm based on channel self attention mechanism and residual connection called . |
Jiacheng Li; | arxiv-cs.CV | 2023-04-21 |
| 1003 | SSS3D: Fast Neural Architecture Search For Efficient Three-Dimensional Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present SSS3D, a fast multi-objective NAS framework designed to find computationally efficient 3D semantic scene segmentation networks. |
Olivier Therrien; Marihan Amein; Zhuoran Xiong; Warren J. Gross; Brett H. Meyer; | arxiv-cs.CV | 2023-04-21 |
| 1004 | Ensembling Instance and Semantic Segmentation for Panoptic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We demonstrate our solution for the 2019 COCO panoptic segmentation task. |
Mehmet Yildirim; Yogesh Langhe; | arxiv-cs.CV | 2023-04-20 |
| 1005 | Text2Seg: Remote Sensing Image Semantic Segmentation Via Text-Guided Visual Foundation Models IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Although recently proposed generic segmentation models like SAM have shown promising results in zero-shot instance-level segmentation, adapting them to semantic segmentation is a non-trivial task. To tackle these challenges, we propose a novel method named Text2Seg for remote sensing semantic segmentation. |
JIELU ZHANG et. al. | arxiv-cs.CV | 2023-04-20 |
| 1006 | An Improved SAR Image Semantic Segmentation Deeplabv3+ Network Based on The Feature Post-Processing Module Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Synthetic Aperture Radar (SAR) can provide rich feature information under all-weather and day-night conditions because it is not affected by climatic conditions. However, … |
Qiupeng Li; Y. Kong; | Remote. Sens. | 2023-04-19 |
| 1007 | Boosting Semantic Segmentation with Semantic Boundaries Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present the Semantic Boundary Conditioned Backbone (SBCB) framework, a simple yet effective training framework that is model-agnostic and boosts segmentation performance, especially around the boundaries. |
Haruya Ishikawa; Yoshimitsu Aoki; | arxiv-cs.CV | 2023-04-19 |
| 1008 | Learning Temporal Distribution and Spatial Correlation Towards Universal Moving Object Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a method called Learning Temporal Distribution and Spatial Correlation (LTS) that has the potential to be a general solution for universal moving object segmentation. |
Guanfang Dong; Chenqiu Zhao; Xichen Pan; Anup Basu; | arxiv-cs.CV | 2023-04-19 |
| 1009 | MFR-Net: Multi-Scale Feature Representation Module for 3D Cerebrovascular Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Cerebrovascular segmentation of Time-of-Flight magnetic resonance angiography (TOF-MRA) is a necessary step for computer-aided diagnosis. At present 3D U-Net is the most popular … |
Yi Lv; Weibin Liao; Zhensen Chen; Xuesong Li; | 2023 IEEE 20th International Symposium on Biomedical … | 2023-04-18 |
| 1010 | SAM Fails to Segment Anything? — SAM-Adapter: Adapting SAM in Underperformed Scenes: Camouflage, Shadow, Medical Image Segmentation, and More IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Rather than fine-tuning the SAM network, we propose \textbf{SAM-Adapter}, which incorporates domain-specific information or visual prompts into the segmentation network by using simple yet effective adapters. |
TIANRUN CHEN et. al. | arxiv-cs.CV | 2023-04-18 |
| 1011 | Region-Enhanced Feature Learning for Scene Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose using regions as the intermediate representation of point clouds instead of fine-grained points or voxels to reduce the computational burden. |
Xin Kang; Chaoqun Wang; Xuejin Chen; | arxiv-cs.CV | 2023-04-15 |
| 1012 | CoMaL: Conditional Maximum Likelihood Approach to Self-supervised Domain Adaptation in Long-tail Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Moreover, they perform bad on the tail classes containing limited number of pixels or less training samples. In order to address these issues, we present a new self-supervised domain adaptation approach to tackle long-tail semantic segmentation in this paper. |
THANH-DAT TRUONG et. al. | arxiv-cs.CV | 2023-04-14 |
| 1013 | MVP-SEG: Multi-View Prompt Learning for Open-Vocabulary Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: CLIP (Contrastive Language-Image Pretraining) is well-developed for open-vocabulary zero-shot image-level recognition, while its applications in pixel-level tasks are less … |
JIE GUO et. al. | arxiv-cs.CV | 2023-04-14 |
| 1014 | CROVIA: Seeing Drone Scenes from Car Perspective Via Cross-View Adaptation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Our work proposes a novel Cross-View Adaptation (CROVIA) approach to effectively adapt the knowledge learned from on-road vehicle views to UAV views. |
THANH-DAT TRUONG et. al. | arxiv-cs.CV | 2023-04-14 |
| 1015 | Swin3D: A Pretrained Transformer Backbone for 3D Indoor Scene Understanding IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we introduce a pretrained 3D backbone, called {\SST}, for 3D indoor scene understanding. |
YU-QI YANG et. al. | arxiv-cs.CV | 2023-04-13 |
| 1016 | Neural Field Conditioning Strategies for 2D Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Neural fields are neural networks which map coordinates to a desired signal. When a neural field should jointly model multiple signals, and not memorize only one, it needs to be … |
M. Gromniak; S. Magg; Stefan Wermter; | International Conference on Artificial Neural Networks | 2023-04-12 |
| 1017 | MED-VT++: Unifying Multimodal Learning with A Multiscale Encoder-Decoder Video Transformer Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present an end-to-end trainable unified multiscale encoder-decoder transformer that is focused on dense prediction tasks in video. |
Rezaul Karim; He Zhao; Richard P. Wildes; Mennatullah Siam; | arxiv-cs.CV | 2023-04-12 |
| 1018 | Video-kMaX: A Simple Unified Approach for Online and Near-Online Video Panoptic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To alleviate the discrepancy, in this work, we propose a unified approach for online and near-online VPS. |
INKYU SHIN et. al. | arxiv-cs.CV | 2023-04-10 |
| 1019 | BerDiff: Conditional Bernoulli Diffusion Model for Medical Image Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To achieve accurate and diverse medical image segmentation masks, we propose a novel conditional Bernoulli Diffusion model for medical image segmentation (BerDiff). |
Tao Chen; Chenhui Wang; Hongming Shan; | arxiv-cs.CV | 2023-04-10 |
| 1020 | Road-Side Individual Tree Segmentation from Urban MLS Point Clouds Using Metric Learning IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: As one of the most important components of urban space, an outdated inventory of road-side trees may misguide managers in the assessment and upgrade of urban environments, … |
PENGCHENG WANG et. al. | Remote. Sens. | 2023-04-10 |
| 1021 | Agronav: Autonomous Navigation Framework for Agricultural Robots and Vehicles Using Semantic Segmentation and Semantic Line Detection IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose Agronav, an end-to-end vision-based autonomous navigation framework, which outputs the centerline from the input image by sequentially processing it through semantic segmentation and semantic line detection models. |
Shivam K Panda; Yongkyu Lee; M. Khalid Jawed; | arxiv-cs.CV | 2023-04-09 |
| 1022 | SegGPT: Segmenting Everything In Context IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present SegGPT, a generalist model for segmenting everything in context. |
XINLONG WANG et. al. | arxiv-cs.CV | 2023-04-06 |
| 1023 | Semantic Validation in Structure from Motion Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This project offers a novel method for improved validation of 3D SfM models. |
Joseph Rowell; | arxiv-cs.CV | 2023-04-05 |
| 1024 | Associating Spatially-Consistent Grouping with Text-supervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we investigate performing semantic segmentation solely through the training on image-sentence pairs. |
YABO ZHANG et. al. | arxiv-cs.CV | 2023-04-03 |
| 1025 | RFNet: Reverse Fusion Network With Attention Mechanism for RGB-D Indoor Scene Understanding IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: RGB-D indoor multiclass scene understandingis a pixelwise task that interprets RGB-D images using depth information to improve the RGB features for higher performance. We propose … |
Wujie Zhou; Sijia Lv; Jingsheng Lei; Ting Luo; Lu Yu; | IEEE Transactions on Emerging Topics in Computational … | 2023-04-01 |
| 1026 | Integrated APC-GAN and AttuNet Framework for Automated Pavement Crack Pixel-Level Segmentation: A New Solution to Small Training Datasets IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Pavement crack segmentation using deep learning methods can improve crack segmentation accuracy, but in many cases the training dataset is lacking or uneven, making it … |
Tianjie Zhang; Donglei Wang; A. Mullins; Yang Lu; | IEEE Transactions on Intelligent Transportation Systems | 2023-04-01 |
| 1027 | JSNet++: Dynamic Filters and Pointwise Correlation for 3D Point Cloud Instance and Semantic Segmentation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper, we propose a novel joint instance and semantic segmentation approach, called JSNet++, to address the instance and semantic segmentation tasks of 3D point clouds … |
Lin Zhao; Wenbing Tao; | IEEE Transactions on Circuits and Systems for Video … | 2023-04-01 |
| 1028 | On-chip Hyperspectral Image Segmentation with Fully Convolutional Networks for Scene Understanding in Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
JON GUTIÉRREZ-ZABALLA et. al. | J. Syst. Archit. | 2023-04-01 |
| 1029 | Dual-Space Graph-Based Interaction Network for RGB-Thermal Semantic Segmentation in Electric Power Scene IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Real-time scene comprehension is the basis for automatic electric power inspection. However, existing RGB-based scene comprehension methods may achieve unsatisfied performance … |
Chang Xu; Qingwu Li; Xiongbiao Jiang; Dabing Yu; Yaqin Zhou; | IEEE Transactions on Circuits and Systems for Video … | 2023-04-01 |
| 1030 | CEKD: Cross-Modal Edge-Privileged Knowledge Distillation for Semantic Scene Understanding Using Only Thermal Images IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Abstract: Semantic scene understanding using thermal images has received great attention due to the advantage that thermal imaging cameras could see in challenging illumination conditions. … |
Zhen Feng; Yanning Guo; Yuxiang Sun; | IEEE Robotics and Automation Letters | 2023-04-01 |
| 1031 | Saliency-Assisted Collaborative Learning Network for Road Scene Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation of road scene is the key technology of autonomous driving, and the improvement of convolutional neural network architecture promotes the improvement of model … |
Haifeng Sima; Yushuang Xu; Minmin Du; Meng Gao; Jing Wang; | KSII Trans. Internet Inf. Syst. | 2023-03-31 |
| 1032 | Complementary Random Masking for RGB-Thermal Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper proposes 1) a complementary random masking strategy of RGB-T images and 2) self-distillation loss between clean and masked input modalities. |
Ukcheol Shin; Kyunghyun Lee; In So Kweon; | arxiv-cs.CV | 2023-03-30 |
| 1033 | Global Multi-Attention UResNeXt for Semantic Segmentation of High-Resolution Remote Sensing Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation has played an essential role in remote sensing image interpretation for decades. Although there has been tremendous success in such segmentation with the … |
Zhongze Chen; Jun Zhao; He Deng; | Remote. Sens. | 2023-03-30 |
| 1034 | Removing Supervision in Semantic Segmentation with Local-global Matching and Area Balancing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We design a novel end-to-end model leveraging local-global patch matching to predict categories, good localization, area and shape of objects for semantic segmentation. |
Simone Rossetti; Nico Samà; Fiora Pirri; | arxiv-cs.CV | 2023-03-30 |
| 1035 | Multi-scale Hierarchical Vision Transformer with Cascaded Attention Decoding for Medical Image Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, transformers may exhibit a limited generalization ability due to the underlying single-scale self-attention (SA) mechanism. In this paper, we address this issue by introducing a Multi-scale hiERarchical vIsion Transformer (MERIT) backbone network, which improves the generalizability of the model by computing SA at multiple scales. |
Md Mostafijur Rahman; Radu Marculescu; | arxiv-cs.CV | 2023-03-29 |
| 1036 | Domain Adaptive Semantic Segmentation By Optimal Transport Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Therefore, how to use a small size of labeled data to achieve semantic segmentation becomes more and more important. In this paper, we propose a domain adaptation (DA) framework based on optimal transport (OT) and attention mechanism to address this issue. |
Yaqian Guo; Xin Wang; Ce Li; Shihui Ying; | arxiv-cs.CV | 2023-03-28 |
| 1037 | Real-Time Semantic Segmentation Using Hyperspectral Images for Mapping Unstructured and Unknown Environments Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In our work we propose the use of hyperspectral images for real-time pixel-wise semantic classification and segmentation, without the need of any prior training data. |
Anthony Medellin; Anant Bhamri; Reza Langari; Swaminathan Gopalswamy; | arxiv-cs.CV | 2023-03-27 |
| 1038 | Real-Time Semantic Segmentation Using Hyperspectral Images for Unstructured and Unknown Environments Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Autonomous navigation in unstructured off-road environments is greatly improved by semantic scene understanding. Conventional image processing algorithms are difficult to … |
A. Medellín; Anant Bhamri; R. Langari; Swaminathan Gopalswamy; | 2023 13th Workshop on Hyperspectral Imaging and Signal … | 2023-03-27 |
| 1039 | Hierarchical Dense Correlation Distillation for Few-Shot Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we design Hierarchically Decoupled Matching Network (HDMNet) mining pixel-level support correlation based on the transformer architecture. |
BOHAO PENG et. al. | arxiv-cs.CV | 2023-03-26 |
| 1040 | Dual-aware Domain Mining and Cross-aware Supervision for Weakly-supervised Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Weakly Supervised Semantic Segmentation with image-level annotation uses localization maps from the classifier to generate pseudo labels. However, such localization maps focus … |
Yuhui Guo; Xun Liang; Bo Wu; Xiangping Zheng; Xuan Zhang; | ACM Transactions on Knowledge Discovery from Data | 2023-03-25 |
| 1041 | A Dynamic Effective Class Balanced Approach for Remote Sensing Imagery Semantic Segmentation of Imbalanced Data IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The wide application and rapid development of satellite remote sensing technology have put higher requirements on remote sensing image segmentation methods. Because of its … |
ZHENG ZHOU et. al. | Remote. Sens. | 2023-03-25 |
| 1042 | OVeNet: Offset Vector Network for Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Based on knowledge about the high regularity of real-world scenes, we propose a method for improving class predictions by learning to selectively exploit information from neighboring pixels. |
Stamatis Alexandropoulos; Christos Sakaridis; Petros Maragos; | arxiv-cs.CV | 2023-03-25 |
| 1043 | ISTD-PDS7: A Benchmark Dataset for Multi-Type Pavement Distress Segmentation from CCD Images in Complex Scenarios Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The lack of large-scale, multi-scene, and multi-type pavement distress training data reduces the generalization ability of deep learning models in complex scenes, and limits the … |
WEIDONG SONG et. al. | Remote. Sens. | 2023-03-24 |
| 1044 | FishDreamer: Towards Fisheye Semantic Completion Via Unified Image Outpainting and Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To jointly estimate the tightly intertwined complete fisheye image and scene semantics, we introduce the new FishDreamer which relies on successful ViTs enhanced with a novel Polar-aware Cross Attention module (PCA) to leverage dense context and guide semantically-consistent content generation while considering different polar distributions. |
HAO SHI et. al. | arxiv-cs.CV | 2023-03-24 |
| 1045 | S3R: Shape and Semantics-Based Selective Regularization for Explainable Continual Segmentation Across Multiple Sites Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In clinical practice, it is desirable for medical image segmentation models to be able to continually learn on a sequential data stream from multiple sites, rather than a … |
JINGYANG ZHANG et. al. | IEEE Transactions on Medical Imaging | 2023-03-23 |
| 1046 | Influencer Backdoor Attack on Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we explore backdoor attacks on segmentation models to misclassify all pixels of a victim class by injecting a specific trigger on non-victim pixels during inferences, which is dubbed Influencer Backdoor Attack (IBA). |
Haoheng Lan; Jindong Gu; Philip Torr; Hengshuang Zhao; | arxiv-cs.CV | 2023-03-21 |
| 1047 | Defense Against Adversarial Patch Attacks for Aerial Image Semantic Segmentation By Robust Feature Extraction Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep learning (DL) models have recently been widely used in UAV aerial image semantic segmentation tasks and have achieved excellent performance. However, DL models are vulnerable … |
Zhen Wang; Buhong Wang; Chuanlei Zhang; Yaohui Liu; | Remote. Sens. | 2023-03-21 |
| 1048 | Neural Implicit Vision-Language Feature Fields IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we present a zero-shot volumetric open-vocabulary semantic scene segmentation method. |
Kenneth Blomqvist; Francesco Milano; Jen Jen Chung; Lionel Ott; Roland Siegwart; | arxiv-cs.RO | 2023-03-20 |
| 1049 | Generative Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present Generative Semantic Segmentation (GSS), a generative learning approach for semantic segmentation. |
Jiaqi Chen; Jiachen Lu; Xiatian Zhu; Li Zhang; | arxiv-cs.CV | 2023-03-20 |
| 1050 | Semantic 3D Scene Segmentation for Robotic Assembly Process Execution Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper describes a pipeline for creating synthetic point clouds for specific use cases in order to train a model for point cloud semantic segmentation. |
Andreas Wiedholz; Stefanie Wucherer; Simon Dietrich; | arxiv-cs.RO | 2023-03-20 |
| 1051 | Multimodal Early Fusion Operators for Temporal Video Scene Segmentation Tasks Related Papers Related Patents Related Grants Related Venues Related Experts View |
Antonio A. R. Beserra; R. Goularte; | Multimedia Tools and Applications | 2023-03-20 |
| 1052 | Revisiting Image Reconstruction for Semi-supervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we revisit the idea of using image reconstruction as the auxiliary task and incorporate it with a modern semi-supervised semantic segmentation framework. |
Yuhao Lin; Haiming Xu; Lingqiao Liu; Jinan Zou; Javen Qinfeng Shi; | arxiv-cs.CV | 2023-03-17 |
| 1053 | SpiderMesh: Spatial-aware Demand-guided Recursive Meshing for RGB-T Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Aiming at practical RGB-T (thermal) segmentation, we systematically propose a Spatial-aware Demand-guided Recursive Meshing (SpiderMesh) framework that: 1) proactively compensates inadequate contextual semantics in optically-impaired regions via a demand-guided target masking algorithm; 2) refines multimodal semantic features with recursive meshing to improve pixel-level semantic analysis performance. |
Siqi Fan; Zhe Wang; Yan Wang; Jingjing Liu; | arxiv-cs.CV | 2023-03-15 |
| 1054 | Stochastic Segmentation with Conditional Categorical Diffusion Models IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this context, stochastic semantic segmentation methods must learn to predict conditional distributions of labels given the image, but this is challenging due to the typically multimodal distributions, high-dimensional output spaces, and limited annotation data. To address these challenges, we propose a conditional categorical diffusion model (CCDM) for semantic segmentation based on Denoising Diffusion Probabilistic Models. |
LUKAS ZBINDEN et. al. | arxiv-cs.CV | 2023-03-15 |
| 1055 | Semantic Segmentation of High-Resolution Remote Sensing Images Based on Sparse Self-Attention and Feature Alignment Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation of high-resolution remote sensing images (HRSI) is significant, yet challenging. Recently, several research works have utilized the self-attention operation … |
LI SUN et. al. | Remote. Sens. | 2023-03-15 |
| 1056 | Implicit Ray-Transformers for Multi-view Remote Sensing Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Such a paradigm struggles with the problem of RS multi-view scene segmentation with limited labeled views due to the lack of considering 3D information within the scene. In this paper, we propose ”Implicit Ray-Transformer (IRT)” based on Implicit Neural Representation (INR), for RS scene semantic segmentation with sparse labels (such as 4-6 labels per 100 images). |
Zipeng Qi; Hao Chen; Chenyang Liu; Zhenwei Shi; Zhengxia Zou; | arxiv-cs.CV | 2023-03-15 |
| 1057 | Implicit Ray Transformers for Multiview Remote Sensing Image Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The mainstream convolutional neural network (CNN)-based remote sensing (RS) image semantic segmentation approaches typically rely on massively labeled training data. Such a … |
Zipeng Qi; Hao Chen; Chenyang Liu; Z. Shi; Zhengxia Zou; | IEEE Transactions on Geoscience and Remote Sensing | 2023-03-15 |
| 1058 | ISLE: A Framework for Image Level Semantic Segmentation Ensemble Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, when scrutinizing the results of state-of-the-art in more detail, we notice that they are remarkably close to each other on average prediction quality, different approaches perform better in different classes while providing low quality in others. To address this problem, we propose a novel framework, ISLE, which employs an ensemble of the pseudo-labels for a given set of different semantic segmentation techniques on a class-wise level. |
Erik Ostrowski; Muhammad Shafique; | arxiv-cs.CV | 2023-03-14 |
| 1059 | ReFit: A Framework for Refinement of Weakly Supervised Semantic Segmentation Using Object Border Fitting for Medical Images Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We define a boundary here as the line separating an object and its background, or two different objects. To address this drawback, we are proposing our novel ReFit framework, which deploys state-of-the-art class activation maps combined with various post-processing techniques in order to achieve fine-grained higher-accuracy segmentation masks. |
Bharath Srinivas Prabakaran; Erik Ostrowski; Muhammad Shafique; | arxiv-cs.CV | 2023-03-14 |
| 1060 | SILOP: An Automated Framework for Semantic Segmentation Using Image Labels Based on Object Perimeters Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a framework that introduces an additional module using object perimeters for improved saliency. |
Erik Ostrowski; Bharath Srinivas Prabakaran; Muhammad Shafique; | arxiv-cs.CV | 2023-03-14 |
| 1061 | Exploring Weakly Supervised Semantic Segmentation Ensembles for Medical Imaging Systems Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, most state-of-the-art approaches rely on them to achieve their improvements. Therefore, we propose a framework that can still utilize the low-quality CAM predictions of complicated datasets to improve the accuracy of our results. |
Erik Ostrowski; Bharath Srinivas Prabakaran; Muhammad Shafique; | arxiv-cs.CV | 2023-03-14 |
| 1062 | CFR-ICL: Cascade-Forward Refinement with Iterative Click Loss for Interactive Image Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To address the challenges, we propose a click-based and mask-guided interactive image segmentation framework containing three novel components: Cascade-Forward Refinement (CFR), Iterative Click Loss (ICL), and SUEM image augmentation. |
Shoukun Sun; Min Xian; Fei Xu; Luca Capriotti; Tiankai Yao; | arxiv-cs.CV | 2023-03-09 |
| 1063 | CLIP-FO3D: Learning Free Open-world 3D Scene Representations from 2D Dense CLIP IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To this end, we propose directly transferring CLIP’s feature space to 3D scene understanding model without any form of supervision. |
Junbo Zhang; Runpei Dong; Kaisheng Ma; | arxiv-cs.CV | 2023-03-08 |
| 1064 | A Threefold Review on Deep Semantic Segmentation: Efficiency-oriented, Temporal and Depth-aware Design Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we conduct a survey on the most relevant and recent advances in Deep Semantic Segmentation in the context of vision for autonomous vehicles, from three different perspectives: efficiency-oriented model development for real-time operation, RGB-Depth data integration (RGB-D semantic segmentation), and the use of temporal information from videos in temporally-aware models. |
Felipe Manfio Barbosa; Fernando Santos Osório; | arxiv-cs.CV | 2023-03-07 |
| 1065 | Exploit CAM By Itself: Complementary Learning System for Weakly Supervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: CLS holds that the neocortex builds a sensation of general knowledge, while the hippocampus specially learns specific details, completing the learned patterns. Motivated by this simple but effective learning pattern, we propose a General-Specific Learning Mechanism (GSLM) to explicitly drive a coarse-grained CAM to a fine-grained pseudo mask. |
JIREN MAI et. al. | arxiv-cs.CV | 2023-03-04 |
| 1066 | Semantic Segmentation in Autonomous Driving—an Example of FCN Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the continuous development of artificial intelligence, autonomous driving technology is becoming more and more mature. The accuracy and real-time judgment of road conditions … |
Hao Sun; Tianci Wang; | Proceedings of the 2023 7th International Conference on … | 2023-03-03 |
| 1067 | THCANet: Two-layer Hop Cascaded Asymptotic Network for Robot-driving Road-scene Semantic Segmentation in RGB-D Images IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
GAO XU et. al. | Digit. Signal Process. | 2023-03-01 |
| 1068 | Cost-Efficient Image Semantic Segmentation for Indoor Scene Understanding Using Weakly Supervised Learning and BIM Related Papers Related Patents Related Grants Related Venues Related Experts View |
Liu Yang; Hubo Cai; | J. Comput. Civ. Eng. | 2023-03-01 |
| 1069 | Complex-Valued U-Net with Capsule Embedded for Semantic Segmentation of PolSAR Image Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In recent years, semantic segmentation with pixel-level classification has become one of the types of research focus in the field of polarimetric synthetic aperture radar (PolSAR) … |
LINGJUAN YU et. al. | Remote. Sens. | 2023-02-28 |
| 1070 | Mask3D: Pre-training 2D Vision Transformers By Learning Masked 3D Priors Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In contrast to traditional 3D contrastive learning paradigms requiring 3D reconstructions or multi-view correspondences, our approach is simple: we formulate a pre-text reconstruction task by masking RGB and depth patches in individual RGB-D frames. |
Ji Hou; Xiaoliang Dai; Zijian He; Angela Dai; Matthias Nießner; | arxiv-cs.CV | 2023-02-28 |
| 1071 | Mask3D: Pretraining 2D Vision Transformers By Learning Masked 3D Priors IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Current popular backbones in computer vision, such as Vision Transformers (ViT) and ResNets are trained to per-ceive the world from 2D images. However, to more effectively … |
Ji Hou; Xiaoliang Dai; Zijian He; Angela Dai; M. Nießner; | 2023 IEEE/CVF Conference on Computer Vision and Pattern … | 2023-02-28 |
| 1072 | Global Feature Attention Network: Addressing The Threat of Adversarial Attack for Aerial Image Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Aerial Image Semantic segmentation based on convolution neural networks (CNNs) has made significant process in recent years. Nevertheless, their vulnerability to adversarial … |
Zhen Wang; Buhong Wang; Yaohui Liu; Jianxin Guo; | Remote. Sens. | 2023-02-27 |
| 1073 | A Language-Guided Benchmark for Weakly Supervised Open Vocabulary Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To this end, we propose a novel unified weakly supervised OVSS pipeline that can perform ZSS, FSS and Cross-dataset segmentation on novel classes without using pixel-level labels for either the base (seen) or the novel (unseen) classes in an inductive setting. |
Prashant Pandey; Mustafa Chasmai; Monish Natarajan; Brejesh Lall; | arxiv-cs.CV | 2023-02-27 |
| 1074 | RemoteNet: Remote Sensing Image Segmentation Network Based on Global-Local Information Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Existing networks struggle to capture the inherent features due to the cluttered background. To address these issues, we propose a remote sensing image segmentation network, RemoteNet, for semantic segmentation of remote sensing images. |
Satyawant Kumar; Abhishek Kumar; Dong-Gyu Lee; | arxiv-cs.CV | 2023-02-25 |
| 1075 | An Iterative Classification and Semantic Segmentation Network for Old Landslide Detection Using High-Resolution Remote Sensing Images Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, an iterative classification and semantic segmentation network (ICSSN) is developed, which can greatly enhance both object-level and pixel-level classification performance by iteratively upgrading the feature extractor shared by two network. |
ZILI LU et. al. | arxiv-cs.CV | 2023-02-23 |
| 1076 | Semantic Segmentation of Remote Sensing Imagery Based on Multiscale Deformable CNN and DenseCRF Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The semantic segmentation of remote sensing images is a significant research direction in digital image processing. The complex background environment, irregular size and shape of … |
Xiang Cheng; Hong Lei; | Remote. Sens. | 2023-02-23 |
| 1077 | Unsupervised Cross-Scene Aerial Image Segmentation Via Spectral Space Transferring and Pseudo-Label Revising Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Unsupervised domain adaptation (UDA) is essential since manually labeling pixel-level annotations is consuming and expensive. Since the domain discrepancies have not been well … |
Wenjie Liu; Wenkai Zhang; Xian Sun; Zhi Guo; | Remote. Sens. | 2023-02-22 |
| 1078 | SEMI-PointRend: Improved Semiconductor Wafer Defect Classification and Segmentation As Rendering Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, we applied the PointRend (Point-based Rendering) method to semiconductor defect segmentation. |
MinJin Hwang; Bappaditya Dey; Enrique Dehaerne; Sandip Halder; Young-han Shin; | arxiv-cs.CV | 2023-02-19 |
| 1079 | Few-shot 3D LiDAR Semantic Segmentation for Autonomous Driving Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Thus, we propose a few-shot 3D LiDAR semantic segmentation method that predicts both novel classes and base classes simultaneously. |
Jilin Mei; Junbao Zhou; Yu Hu; | arxiv-cs.RO | 2023-02-17 |
| 1080 | Model Doctor for Diagnosing and Treating Segmentation Error Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Despite the remarkable progress in semantic segmentation tasks with the advancement of deep neural networks, existing U-shaped hierarchical typical segmentation networks still suffer from local misclassification of categories and inaccurate target boundaries. In an effort to alleviate this issue, we propose a Model Doctor for semantic segmentation problems. |
ZHIJIE JIA et. al. | arxiv-cs.CV | 2023-02-17 |
| 1081 | TransUPR: A Transformer-based Plug-and-Play Uncertain Point Refiner for LiDAR Point Cloud Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Common image-based LiDAR point cloud semantic segmentation (LiDAR PCSS) approaches have bottlenecks resulting from the boundary-blurring problem of convolution neural networks … |
ZIFAN YU et. al. | 2023 IEEE/RSJ International Conference on Intelligent … | 2023-02-16 |
| 1082 | A Novel Real-Time Edge-Guided LiDAR Semantic Segmentation Network for Unstructured Environments Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: LiDAR-based semantic segmentation, particularly for unstructured environments, plays a crucial role in environment perception and driving decisions for unmanned ground vehicles. … |
Xiaoqing Yin; Xu Li; Peizhou Ni; Qimin Xu; Dong Kong; | Remote. Sens. | 2023-02-16 |
| 1083 | TransUPR: A Transformer-based Uncertain Point Refiner for LiDAR Point Cloud Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a transformer-based plug-and-play uncertain point refiner, i.e., TransUPR, to refine selected uncertain points in a learnable manner, which leads to an improved segmentation performance. |
ZIFAN YU et. al. | arxiv-cs.CV | 2023-02-16 |
| 1084 | Semantic Image Segmentation: Two Decades of Research IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Since unlabeled data is instead significantly cheaper to obtain, it is not surprising that Unsupervised Domain Adaptation (UDA) reached a broad success within the semantic segmentation community. Therefore, a second core contribution of this book is to summarize five years of a rapidly growing field, Domain Adaptation for Semantic Image Segmentation (DASiS) which embraces the importance of semantic segmentation itself and a critical need of adapting segmentation models to new environments. |
Gabriela Csurka; Riccardo Volpi; Boris Chidlovskii; | arxiv-cs.CV | 2023-02-13 |
| 1085 | A Deep Learning-based Global and Segmentation-based Semantic Feature Fusion Approach for Indoor Scene Classification Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This work proposes a novel approach that uses a semantic segmentation mask to obtain a 2D spatial layout of the segmentation-categories across the scene, designated by segmentation-based semantic features (SSFs). |
Ricardo Pereira; Tiago Barros; Luis Garrote; Ana Lopes; Urbano J. Nunes; | arxiv-cs.CV | 2023-02-13 |
| 1086 | Self-Supervised Unseen Object Instance Segmentation Via Long-Term Robot Interaction Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce a novel robotic system for improving unseen object instance segmentation in the real world by leveraging long-term robot interaction with objects. |
YANGXIAO LU et. al. | arxiv-cs.RO | 2023-02-07 |
| 1087 | 1st Place Solution for PSG Competition with ECCV’22 SenseHuman Workshop Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: One-stage approach despite having a simplified training paradigm, its segmentation results are usually under-satisfactory, while two-stage approach lacks global context and leads to low performance on relation prediction. To bridge this gap, in this paper, we propose GRNet, a Global Relation Network in two-stage paradigm, where the pre-extracted local object features and their corresponding masks are fed into a transformer with class embeddings. |
Qixun Wang; Xiaofeng Guo; Haofan Wang; | arxiv-cs.CV | 2023-02-06 |
| 1088 | Multi-Task Self-Supervised Learning for Image Segmentation Task Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Thanks to breakthroughs in AI and Deep learning methodology, Computer vision techniques are rapidly improving. |
Lichun Gao; Chinmaya Khamesra; Uday Kumbhar; Ashay Aglawe; | arxiv-cs.LG | 2023-02-05 |
| 1089 | Variational Multichannel Multiclass Segmentation Using Unsupervised Lifting with CNNs Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose an unsupervised image segmentation approach, that combines a variational energy functional and deep convolutional neural networks. |
Nadja Gruber; Johannes Schwab; Sebastien Court; Elke Gizewski; Markus Haltmeier; | arxiv-cs.CV | 2023-02-04 |
| 1090 | Rethinking Semi-Supervised Medical Image Segmentation: A Variance-Reduction Perspective IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose ARCO, a semi-supervised contrastive learning (CL) framework with stratified group theory for medical image segmentation. |
CHENYU YOU et. al. | arxiv-cs.CV | 2023-02-03 |
| 1091 | Paced-Curriculum Distillation with Prediction and Label Uncertainty for Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We utilize the teacher model to obtain prediction uncertainty and spatially varying label smoothing with Gaussian kernel to generate segmentation boundary uncertainty from the annotation. |
MOBARAKOL ISLAM et. al. | arxiv-cs.CV | 2023-02-02 |
| 1092 | SeaFormer: Squeeze-enhanced Axial Transformer for Mobile Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we introduce a new method squeeze-enhanced Axial Transformer (SeaFormer) for mobile semantic segmentation. |
Qiang Wan; Jiachen Lu; Zilong Huang; Gang YU; Li Zhang; | iclr | 2023-02-01 |
| 1093 | Remote Sensing Image Segmentation Based on Hierarchical Student’s-t Mixture Model and Spatial Constrains with Adaptive Smoothing Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image segmentation is an important task in image processing and analysis but due to the same ground object having different spectra and different ground objects having similar … |
Xue Shi; Yu Wang; Yu Li; Shiqing Dou; | Remote. Sens. | 2023-02-01 |
| 1094 | 3D Segmenter: 3D Transformer Based Semantic Segmentation Via 2D Panoramic Distillation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Therefore, in this work, we propose the first 2D-to-3D knowledge distillation strategy to enhance 3D semantic segmentation model with knowledge embedded in the latent space of powerful 2D models.To facilitate our research, we create a large-scale, fine-annotated 3D semantic segmentation benchmark, containing voxel-wise semantic labels and aligned panoramas of 5175 scenes. |
ZHENNAN WU et. al. | iclr | 2023-02-01 |
| 1095 | ILabel: Revealing Objects in Neural Fields IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: A neural field trained with self-supervision to efficiently represent the geometry and colour of a 3D scene tends to automatically decompose it into coherent and accurate … |
S. ZHI et. al. | IEEE Robotics and Automation Letters | 2023-02-01 |
| 1096 | NeRF-SOS: Any-View Self-supervised Object Segmentation on Complex Scenes IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a novel collaborative contrastive loss for NeRF to segment objects in complex real-world scenes, without any annotation. |
ZHIWEN FAN et. al. | iclr | 2023-02-01 |
| 1097 | Bi-Unet: A Dual Stream Network for Real-Time Highway Surface Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Highway surface segmentation consists of extracting road surface at pixel-level from the surveillance camera view. Since the intelligent traffic event detection task does not … |
Jian Sun; Junge Shen; Xin Wang; Zhaoyong Mao; Jing Ren; | IEEE Transactions on Intelligent Vehicles | 2023-02-01 |
| 1098 | ViewCo: Discovering Text-Supervised Segmentation Masks Via Multi-View Semantic Consistency IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, existing works focus on pixel grouping and cross-modal semantic alignment, while ignoring the correspondence among multiple augmented views of the same image. To overcome such limitation, we propose multi-View Consistent learning (ViewCo) for text-supervised semantic segmentation. |
PENGZHEN REN et. al. | iclr | 2023-02-01 |
| 1099 | DRE-Net: A Dynamic Radius-Encoding Neural Network with An Incremental Training Strategy for Interactive Segmentation of Remote Sensing Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation of remote sensing (RS) images, which is a fundamental research topic, classifies each pixel in an image. It plays an essential role in many downstream RS … |
L. Yang; Wenjie Zi; Hao Chen; Shuang Peng; | Remote. Sens. | 2023-01-31 |
| 1100 | Audio-Visual Segmentation with Semantics IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: The first two settings need to generate binary masks of sounding objects indicating pixels corresponding to the audio, while the third setting further requires generating semantic maps indicating the object category. To deal with these problems, we propose a new baseline method that uses a temporal pixel-wise audio-visual interaction module to inject audio semantics as guidance for the visual segmentation process. |
JINXING ZHOU et. al. | arxiv-cs.CV | 2023-01-30 |
| 1101 | Human Vision Based 3D Point Cloud Semantic Segmentation of Large-Scale Outdoor Scene Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper proposes EyeNet, a novel semantic segmentation network for point clouds that addresses the critical yet often overlooked parameter of coverage area size. |
Sunghwan Yoo; Yeongjeong Jeong; Maryam Jameela; Gunho Sohn; | arxiv-cs.CV | 2023-01-30 |
| 1102 | ZegOT: Zero-shot Segmentation Through Optimal Transport of Text Prompts IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Here, we propose a novel Zero-shot segmentation with Optimal Transport (ZegOT) method that matches multiple text prompts with frozen image embeddings through optimal transport. |
Kwanyoung Kim; Yujin Oh; Jong Chul Ye; | arxiv-cs.CV | 2023-01-28 |
| 1103 | ProtoSeg: Interpretable Semantic Segmentation with Prototypical Parts IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce ProtoSeg, a novel model for interpretable semantic image segmentation, which constructs its predictions using similar patches from the training set. |
Mikołaj Sacha; Dawid Rymarczyk; Łukasz Struski; Jacek Tabor; Bartosz Zieliński; | arxiv-cs.CV | 2023-01-28 |
| 1104 | Flow-guided Semi-supervised Video Object Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose an optical flow-guided approach for semi-supervised video object segmentation. |
Yushan Zhang; Andreas Robinson; Maria Magnusson; Michael Felsberg; | arxiv-cs.CV | 2023-01-25 |
| 1105 | Improving Sketch Colorization Using Adversarial Segmentation Consistency Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a new method for producing color images from sketches. |
Samet Hicsonmez; Nermin Samet; Emre Akbas; Pinar Duygulu; | arxiv-cs.CV | 2023-01-20 |
| 1106 | Training Semantic Segmentation on Heterogeneous Datasets Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The HTSS formulation exposes deep networks to a larger and previously unexplored aggregation of information that can potentially enhance semantic segmentation in three directions: i) performance: increased segmentation metrics on seen datasets, ii) generalization: improved segmentation metrics on unseen datasets, and iii) knowledgeability: increased number of recognizable semantic concepts. To research these benefits of HTSS, we propose a unified framework, that incorporates heterogeneous datasets in a single-network training pipeline following the established FCN standard. |
Panagiotis Meletis; Gijs Dubbelman; | arxiv-cs.CV | 2023-01-18 |
| 1107 | Model-based Inexact Graph Matching on Top of CNNs for Semantic Scene Understanding Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a novel post-processing module enforcing structural knowledge about the objects of interest to improve segmentation results provided by deep learning. |
Jérémy Chopin; Jean-Baptiste Fasquel; Harold Mouchère; Rozenn Dahyot; Isabelle Bloch; | arxiv-cs.CV | 2023-01-18 |
| 1108 | Three-Dimensional Point Cloud Semantic Segmentation for Cultural Heritage: A Comprehensive Review IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In the cultural heritage field, point clouds, as important raw data of geomatics, are not only three-dimensional (3D) spatial presentations of 3D objects but they also have the … |
Su Yang; M. Hou; Songnian Li; | Remote. Sens. | 2023-01-17 |
| 1109 | Unraveling Segmentation Quality of Remotely Sensed Images on Plastic-Covered Greenhouses: A Rigorous Experimental Analysis from Supervised Evaluation Metrics Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Plastic-covered greenhouse (PCG) segmentation represents a significant challenge for object-based PCG mapping studies due to the spectral characteristics of these singular … |
G. Senel; M. A. Aguilar; F. Aguilar; A. Nemmaoui; C. Goksel; | Remote. Sens. | 2023-01-13 |
| 1110 | RCPS: Rectified Contrastive Pseudo Supervision for Semi-Supervised Medical Image Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To address the issues above, we propose a novel semi-supervised segmentation method named as Rectified Contrastive Pseudo Supervision (RCPS), which combines a rectified pseudo supervision and voxel-level contrastive learning to improve the effectiveness of semi-supervised segmentation. |
XIANGYU ZHAO et. al. | arxiv-cs.CV | 2023-01-13 |
| 1111 | Self-Training Guided Disentangled Adaptation for Cross-Domain Remote Sensing Image Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To decrease the negative influence of domain shift, we propose a self-training guided disentangled adaptation network (ST-DASegNet). |
Qi Zhao; Shuchang Lyu; Binghao Liu; Lijiang Chen; Hongbo Zhao; | arxiv-cs.CV | 2023-01-13 |
| 1112 | A Comprehensive Review of Modern Object Segmentation Approaches IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image segmentation is the task of associating pixels in an image with their respective object class labels. It has a wide range of applications in many industries including … |
Yuanbo Wang; Unaiza Ahsan; H. Li; Matthew S. Hagen; | ArXiv | 2023-01-13 |
| 1113 | Self-Supervised Correction Learning for Semi-Supervised Biomedical Image Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we adopt a coarse-to-fine strategy and propose a self-supervised correction learning paradigm for semi-supervised biomedical image segmentation. |
Ruifei Zhang; Sishuo Liu; Yizhou Yu; Guanbin Li; | arxiv-cs.CV | 2023-01-12 |
| 1114 | Semantic Segmentation Via Pixel-to-Center Similarity Calculation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we first rethink semantic segmentation from a perspective of similarity between pixels and class centers. |
DONGYUE WU et. al. | arxiv-cs.CV | 2023-01-12 |
| 1115 | LENet: Lightweight And Efficient LiDAR Semantic Segmentation Using Multi-Scale Convolution Attention Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This paper proposes a lightweight and efficient projection-based semantic segmentation network called LENet with an encoder-decoder structure for LiDAR-based semantic segmentation. |
Ben Ding; | arxiv-cs.CV | 2023-01-10 |
| 1116 | Video Object Segmentation Through Semantic Visual Words Matching Related Papers Related Patents Related Grants Related Venues Related Experts View |
Chuanyan Hao; Yadang Chen; Weiming Wu; Zhixin Yang; E. Wu; | Multimedia Tools and Applications | 2023-01-10 |
| 1117 | Semantic Segmentation and Depth Estimation of Urban Road Scene Images Using Multi-Task Networks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In autonomous driving, environment perception is an important step in understanding the driving scene. Objects in images captured through a vehicle camera can be detected and … |
M. Mahyoub; F. Natalia; S. Sudirman; A. Al-Jumaily; P. Liatsis; | 2023 15th International Conference on Developments in … | 2023-01-09 |
| 1118 | Cleaning of Object Surfaces Based on Deep Learning: A Method for Generating Manipulator Trajectories Using RGB-D Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View |
LIZHE QI et. al. | Neural Computing and Applications | 2023-01-07 |
| 1119 | Encoder-Decoder Based Segmentation Model for UAV Street Scene Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Global contextual information needs to be modeled precisely for accurate segmentation of images taken by Unmanned Aerial Vehicles (UAVs). This paper presents a transformer-based … |
S. Kumar; Abhishek Kumar; Hye-Seong Hong; Dong-Gyu Lee; | 2023 IEEE International Conference on Consumer Electronics … | 2023-01-06 |
| 1120 | Design and Implementation of Text Understanding System Based on Semantic Tagging Instances Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: There are many challenges in text semantic understanding research, such as sparse semantic features, massive representation forms, complex semantic redundancy, diverse echo … |
PING ZHU et. al. | Proceedings of the 2023 4th International Conference on … | 2023-01-06 |
| 1121 | Top-K Confidence Map Aggregation for Robust Semantic Segmentation Against Unexpected Degradation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Convolutional Neural Networks (CNNs) have become the mainstream for computer vision tasks like semantic segmentation. The CNNs have substantially improved the performance of … |
Yuuki Moriyasu; Takashi Shibata; Masayuki Tanaka; M. Okutomi; | 2023 IEEE International Conference on Consumer Electronics … | 2023-01-06 |
| 1122 | Fast Tailings Pond Mapping Exploiting Large Scene Remote Sensing Images By Coupling Scene Classification and Sematic Segmentation Models Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In the process of extracting tailings ponds from large scene remote sensing images, semantic segmentation models usually perform calculations on all small-size remote sensing … |
PAN WANG et. al. | Remote. Sens. | 2023-01-05 |
| 1123 | Benchmarking The Robustness of LiDAR Semantic Segmentation Models IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we aim to comprehensively analyze the robustness of LiDAR semantic segmentation models under various corruptions. |
XU YAN et. al. | arxiv-cs.CV | 2023-01-03 |
| 1124 | I2F: A Unified Image-to-Feature Approach for Domain Adaptive Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper proposes a novel UDA pipeline for semantic segmentation that unifies image-level and feature-level adaptation. |
Haoyu Ma; Xiangru Lin; Yizhou Yu; | arxiv-cs.CV | 2023-01-03 |
| 1125 | Medical Image Segmentation Based on Transformer and HarDNet Structures IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Medical image segmentation is a crucial way to assist doctors in the accurate diagnosis of diseases. However, the accuracy of medical image segmentation needs further improvement … |
Tongping Shen; Huanqing Xu; | IEEE Access | 2023-01-01 |
| 1126 | MiCro: Modeling Cross-Image Semantic Relationship Dependencies for Class-Incremental Semantic Segmentation in Remote Sensing Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Continual learning is an effective way to overcome catastrophic forgetting (CF) in incremental learning for semantic segmentation. The existing continual semantic segmentation … |
XUEE RONG et. al. | IEEE Transactions on Geoscience and Remote Sensing | 2023-01-01 |
| 1127 | Semantic Segmentation for Remote Sensing Image Using The Multigranularity Object-Based Markov Random Field With Blinking Coefficient Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation is one of the most important tasks in remote sensing. In the semantic segmentation of remote sensing images, some regions are repeatedly transformed between … |
HONGTAI YAO et. al. | IEEE Transactions on Geoscience and Remote Sensing | 2023-01-01 |
| 1128 | MIGN: Multiscale Image Generation Network for Remote Sensing Image Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the development of computer vision, the semantic segmentation of remote sensing images, which has become an important topic, has been utilized in various applications for … |
JIE NIE et. al. | IEEE Transactions on Multimedia | 2023-01-01 |
| 1129 | EasyPortrait – Face Parsing and Portrait Segmentation Dataset Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recently, due to COVID-19 and the growing demand for remote work, video conferencing apps have become especially widespread. The most valuable features of video chats are … |
A. Kapitanov; Karina Kvanchiani; Sofia Kirillova; | ArXiv | 2023-01-01 |
| 1130 | Lightweight Attention Network for Very High-Resolution Image Semantic Segmentation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation is one of the most challenging tasks for very high-resolution (VHR) remote sensing applications. Deep convolutional neural networks (DCNNs) based on the … |
Renchu Guan; Ming Wang; L. Bruzzone; Haishi Zhao; Chen Yang; | IEEE Transactions on Geoscience and Remote Sensing | 2023-01-01 |
| 1131 | Multiscale Prototype Contrast Network for High-Resolution Aerial Imagery Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation of high-resolution aerial images is a challenging task on account of complex scene variations and large-scale differences. However, these two issues are … |
QIXIONG WANG et. al. | IEEE Transactions on Geoscience and Remote Sensing | 2023-01-01 |
| 1132 | Superpixel Consistency Saliency Map Generation for Weakly Supervised Semantic Segmentation of Remote Sensing Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The weakly supervised semantic segmentation (WSSS) method aims to assign semantic labels to each image pixel from weak (image-level) instead of strong (pixel-level) labels, which … |
Xiaopeng Zeng; Tengfei Wang; Zhe Dong; Xiangrong Zhang; Yanfeng Gu; | IEEE Transactions on Geoscience and Remote Sensing | 2023-01-01 |
| 1133 | MISNet: Multiscale Cross-Layer Interactive and Similarity Refinement Network for Scene Parsing of Aerial Images IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Although progress has been made in multisource data scene parsing of natural scene images, extracting complex backgrounds from aerial images of various types and presenting the … |
Wujie Zhou; Xiaomin Fan; Lu Yu; Jingsheng Lei; | IEEE Journal of Selected Topics in Applied Earth … | 2023-01-01 |
| 1134 | Multistage Scene-Level Constraints for Large-Scale Point Cloud Weakly Supervised Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Compared to fully supervised 3-D large-scale point cloud segmentation methods, which necessitate extensive manual point-wise annotations, weakly supervised segmentation has … |
YANFEI SU et. al. | IEEE Transactions on Geoscience and Remote Sensing | 2023-01-01 |
| 1135 | Semantic Segmentation of In-Vehicle Point Cloud With Improved RangeNet++ Loss Function Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: To solve the problem of inaccurate object segmentation caused by unbalanced samples for in-vehicle point cloud, an improved semantic segmentation network RangeNet++ based on … |
JINHUI ZHANG et. al. | IEEE Access | 2023-01-01 |
| 1136 | Ophthalmic OCT Segmentation Method Based on RCNN-Attention Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: As the growth of science and technology, ophthalmic optical coherence tomography (OCT) image segmentation plays a key role in ophthalmic diagnosis. To improve the accuracy of … |
Bingbing Li; Yao Cong; Hongwei Mo; | IEEE Access | 2023-01-01 |
| 1137 | Graph Attention Guidance Network With Knowledge Distillation for Semantic Segmentation of Remote Sensing Images IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep learning has become a popular method for studying the semantic segmentation of high-resolution remote sensing images (HRRSIs). Existing methods have adopted convolutional … |
WUJIE ZHOU et. al. | IEEE Transactions on Geoscience and Remote Sensing | 2023-01-01 |
| 1138 | Comparative Study of Real-Time Semantic Segmentation Networks in Aerial Images During Flooding Events IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Real-time semantic segmentation of aerial imagery is essential for unmanned ariel vehicle applications, including military surveillance, land characterization, and disaster damage … |
Farshad Safavi; M. Rahnemoonfar; | IEEE Journal of Selected Topics in Applied Earth … | 2023-01-01 |
| 1139 | Dual-Range Context Aggregation for Efficient Semantic Segmentation in Remote Sensing Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Although introducing self-attention mechanisms is beneficial to establish long-range dependencies and explore global context information in the task of remote sensing image … |
Guangjun He; Zhe Dong; P. Feng; Dilxat Muhtar; Xue-liang Zhang; | IEEE Geoscience and Remote Sensing Letters | 2023-01-01 |
| 1140 | MMT: Mixed-Mask Transformer for Remote Sensing Image Semantic Segmentation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Remote sensing image semantic segmentation is a crucial step in the intelligent interpretation of remote sensing. Most of the current approaches are based on the attention … |
Zhe Xu; Jie Geng; Wen Jiang; | IEEE Transactions on Geoscience and Remote Sensing | 2023-01-01 |
| 1141 | Using Layer-Wise Training for Road Semantic Segmentation in Autonomous Cars Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: A recently developed application of computer vision is pathfinding in self-driving cars. Semantic scene understanding and semantic segmentation, as subfields of computer vision, … |
S. SHASHAANI et. al. | IEEE Access | 2023-01-01 |
| 1142 | Enhancing Semantically Masked Transformer With Local Attention for Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Transformer-based semantic segmentation has been applied to various visual recognition applications and achieved outstanding performance in recent years. Since most of these … |
Zhengyu Xia; Joohee Kim; | IEEE Access | 2023-01-01 |
| 1143 | Semantic-guided Context Modeling for Indoor Scene Recognition Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Exploring the semantic context in scene images is essential for indoor scene recognition. However, due to the diverse intra-class spatial layouts and the coexisting inter-class … |
Chuanxin Song; Hanbo Wu; Xin Ma; Yibin Li; | ArXiv | 2023-01-01 |
| 1144 | Multilevel Thresholding Image Segmentation Algorithm Based on Mumford–Shah Model Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image segmentation is one of the important tasks of computer vision and computer image processing, and the purpose of image segmentation is to achieve the extraction and … |
Xiancai Kang; Chuangli Hua; | Journal of Intelligent Systems | 2023-01-01 |
| 1145 | A Real-Time Scene Parsing Network for Autonomous Maritime Transportation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: On the sea, scene parsing, one of the most basic environmental perception methods for autonomous tasks, helps autonomous devices safely navigate and avoid obstacles. However, most … |
Run Zhou; Yulong Gao; Yang Wang; Xingxiang Xie; Xiongwei Zhao; | IEEE Transactions on Instrumentation and Measurement | 2023-01-01 |
| 1146 | Dual Cross-Attention for Video Object Segmentation Via Uncertainty Refinement Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper, we propose a novel approach to video object segmentation where dual streams consisting of a shared network and a special network are designed to constitute the … |
Jiahao Hong; Wei Zhang; Zhi-Ao Feng; Wenqiang Zhang; | IEEE Transactions on Multimedia | 2023-01-01 |
| 1147 | A Novel Semantic Segmentation Algorithm for RGB-D Images Based on Non-Symmetry and Anti-Packing Pattern Representation Model Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the rapid development of deep learning technology, the accuracy of image semantic segmentation tasks has been greatly improved. However, indoor RGB-D semantic segmentation … |
YUNPING ZHENG et. al. | IEEE Access | 2023-01-01 |
| 1148 | Attention Based Quick Network With Optical Flow Estimation for Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Video semantic segmentation is a challenging vision task since the temporal-spatial characteristics are difficult to model to satisfy the requirements of real-time and accuracy … |
Jiawen Cai; Yarong Liu; Pan Qin; | IEEE Access | 2023-01-01 |
| 1149 | Spatial and Semantic Consistency Contrastive Learning for Self-Supervised Semantic Segmentation of Remote Sensing Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: A critical requirement for the success of supervised deep learning lies in having numerous annotated images, which is often challenging to fulfill in remote sensing semantic … |
Zhe Dong; Tianzhu Liu; Yanfeng Gu; | IEEE Transactions on Geoscience and Remote Sensing | 2023-01-01 |
| 1150 | PD-SegNet: Semantic Segmentation of Small Agricultural Targets in Complex Environments Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The agricultural scene is a typical unstructured scene, which is intricate and heavily affected by sunlight, weather, and other factors. Agricultural segmentation targets are … |
Zhijia Zhu; Mingkun Jiang; Jun Dong; Shuang Wu; Fan Ma; | IEEE Access | 2023-01-01 |
| 1151 | EmPointMovSeg: Sparse Tensor-Based Moving-Object Segmentation in 3-D LiDAR Point Clouds for Autonomous Driving-Embedded System IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Object segmentation is a per-pixel label prediction task that targets at providing context analysis for autonomous driving. Moving-object segmentation (MOS) serves as a subbranch … |
ZHIJIAN HE et. al. | IEEE Transactions on Computer-Aided Design of Integrated … | 2023-01-01 |
| 1152 | Deep Learning-Based Multiscale Pyramid Sieve and Analysis Module in Image Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image segmentation is an essential part of remote sensing preprocessing. This paper proposes a deep learning-based multiscale pyramid sieve and analysis module to solve the … |
Di Cao; Jian-Nong Cao; Qian Zhu; Li-Jiao Lou; Nian-Zhong Xiao; | IEEE Access | 2023-01-01 |
| 1153 | Joint Multiclass Object Detection and Semantic Segmentation for Autonomous Driving IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Object detection and semantic segmentation are two fundamental problems in autonomous driving systems. As recent studies have illustrated the strong correlation between the two … |
Shakhboz Abdigapporov; Shokhrukh Miraliev; Vijay Kakani; Hakil Kim; | IEEE Access | 2023-01-01 |
| 1154 | Complex Scene Segmentation With Local to Global Self-Attention Module and Feature Alignment Module Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: It is challenging to accurately mode the local and global context during complex scene segmentation. To solve this problem, a scene semantic segmentation network contains local to … |
XIANFENG OU et. al. | IEEE Access | 2023-01-01 |
| 1155 | SegMind: Semisupervised Remote Sensing Image Semantic Segmentation With Masked Image Modeling and Contrastive Learning Method Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Remote sensing (RS) image semantic segmentation has attracted much attention due to its wide applications. However, deep learning-based RS image semantic segmentation methods … |
Zhenghong Li; Hao Chen; Jiangjiang Wu; Jun Li; Ning Jing; | IEEE Transactions on Geoscience and Remote Sensing | 2023-01-01 |
| 1156 | Multifeature Semantic Complementation Network for Marine Oil Spill Localization and Segmentation Based on SAR Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Marine oil spill causes severe damage to the marine ecological environment. Synthetic aperture radar (SAR) is widely used in marine oil spill detection due to its all-day and … |
Jianchao Fan; Shuai Zhang; Xinzhe Wang; Jun Xing; | IEEE Journal of Selected Topics in Applied Earth … | 2023-01-01 |
| 1157 | One Model Is Enough: Toward Multiclass Weakly Supervised Remote Sensing Image Semantic Segmentation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation of remote sensing images (RSIs) is effective for large-scale land cover mapping, which heavily relies on a large amount of training data with laborious … |
Zhenshi Li; Xue-liang Zhang; P. Xiao; | IEEE Transactions on Geoscience and Remote Sensing | 2023-01-01 |
| 1158 | Three-Dimensional Segmentation and Global Clearance Analysis for Free-Bent Pipelines in Point-Cloud Scenarios Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Detecting free-bent pipelines and analyzing the global-range clearance in cluttered industrial scenarios are a significant yet challenging task in pipeline inspection. Most of the … |
J. Zhang; Zitai Zhou; Junhua Sun; | IEEE Transactions on Instrumentation and Measurement | 2023-01-01 |
| 1159 | Single Stage Weakly Supervised Semantic Segmentation of Complex Scenes Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The costly process of obtaining semantic segmentation labels has driven research towards weakly supervised semantic segmentation (WSSS) methods, using only image-level, point, or … |
Peri Akiva; Kristin J. Dana; | 2023 IEEE/CVF Winter Conference on Applications of Computer … | 2023-01-01 |
| 1160 | Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View |
YANKAI JIANG et. al. | ArXiv | 2023-01-01 |
| 1161 | Hidden Feature-Guided Semantic Segmentation Network for Remote Sensing Images IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: For semantic segmentation of remote sensing images, convolutional neural networks (CNNs) have proven to be powerful tools. However, the existing CNN-based methods have the … |
Zhen Wang; Shanwen Zhang; Chuanlei Zhang; Buhong Wang; | IEEE Transactions on Geoscience and Remote Sensing | 2023-01-01 |
| 1162 | SegTrans: Semantic Segmentation With Transfer Learning for MLS Point Clouds IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Three-dimensional point cloud semantic segmentation plays an essential role in fine-grained scene understanding from photogrammetry to autonomous driving. Although recent efforts … |
SHUO SHEN et. al. | IEEE Geoscience and Remote Sensing Letters | 2023-01-01 |
| 1163 | Oil Film Semantic Segmentation Method in X-Band Marine Radar Remote Sensing Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Effective oil-spill monitoring is critical for timely response to minimize the impact on the environment. In response to the difficulty in extracting suspected oil films from … |
BO LI et. al. | IEEE Geoscience and Remote Sensing Letters | 2023-01-01 |
| 1164 | Edge-Based Local and Global Energy Active Contour Model Driven By Signed Pressure Force for Image Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image segmentation is a tedious task that suffers from constraints, such as blurred or weak edges and intensity inhomogeneity. Active contour models (ACMs), including edge- and … |
ASIM NIAZ et. al. | IEEE Transactions on Instrumentation and Measurement | 2023-01-01 |
| 1165 | Swin-Conv-Dspp and Global Local Transformer for Remote Sensing Image Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Compared with the traditional method based on hand-crafted features, deep neural network has achieved a certain degree of success on remote sensing (RS) image semantic … |
YOUDA MO et. al. | IEEE Journal of Selected Topics in Applied Earth … | 2023-01-01 |
| 1166 | SPANet: Spatial Adaptive Convolution Based Content-Aware Network for Aerial Image Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation of remote sensing images encounters four significant difficulties: 1) complex backgrounds, 2) large-scale differences, 3) numerous small objects, and 4) … |
Jianlong Hou; Zhi Guo; Yingchao Feng; Youming Wu; W. Diao; | IEEE Journal of Selected Topics in Applied Earth … | 2023-01-01 |
| 1167 | An Adaptive DeepLabv3+ for Semantic Segmentation of Aerial Images Using Improved Golden Eagle Optimization Algorithm Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation is a significant task in the field of Remote Sensing and Computer Vision. DeepLabV3+ is a convolutional neural network architecture that excels in the task … |
P. ANILKUMAR et. al. | IEEE Access | 2023-01-01 |
| 1168 | Enhancing Efficient Global Understanding Network With CSWin Transformer for Urban Scene Images Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The global context is crucial to the semantic segmentation task of remote sensing (RS) urban scene imagery since objects have large size variations, high similarity, and mutual … |
Jie Zhang; Mingwen Shao; Yuanjian Qiao; Xiangyong Cao; | IEEE Journal of Selected Topics in Applied Earth … | 2023-01-01 |
| 1169 | SFAF-MA: Spatial Feature Aggregation and Fusion With Modality Adaptation for RGB-Thermal Semantic Segmentation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The fusion of red, green, blue (RGB) and thermal images has profound implications for the semantic segmentation of challenging urban scenes, such as those with poor illumination. … |
Xunjie He; Meiling Wang; Tong Liu; Lin Zhao; Yufeng Yue; | IEEE Transactions on Instrumentation and Measurement | 2023-01-01 |
| 1170 | Semantic Segmentation of Degraded Images Using Layer-Wise Feature Adjustor Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation of degraded images is important for practical applications such as autonomous driving and surveillance systems. The degradation level, which represents the … |
Kazuki Endo; Masayuki Tanaka; M. Okutomi; | 2023 IEEE/CVF Winter Conference on Applications of Computer … | 2023-01-01 |
| 1171 | Improving Semantic Segmentation Under Hazy Weather for Autonomous Vehicles Using Explainable Artificial Intelligence and Adaptive Dehazing Approach Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Haze-level discriminators are crucial for autonomous vehicles to handle segmentation tasks successfully in hazy and foggy outdoor environments. Deep learning (DL) networks trained … |
Vani Suthamathi Saravanarajan; R. Chen; C. Hsieh; Long-Sheng Chen; | IEEE Access | 2023-01-01 |
| 1172 | Label Propagation and Contrastive Regularization for Semisupervised Semantic Segmentation of Remote Sensing Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Remarkable progress based on deep neural networks has been achieved in the semantic segmentation of remote sensing images (RSIs). However, pixel-level labeling is expensive for … |
ZHUJUN YANG et. al. | IEEE Transactions on Geoscience and Remote Sensing | 2023-01-01 |
| 1173 | ECAE: Edge-Aware Class Activation Enhancement for Semisupervised Remote Sensing Image Semantic Segmentation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Remote sensing image semantic segmentation (RSISS) remains challenging due to the scarcity of labeled data. Semisupervised learning can leverage pseudolabels to enhance the … |
Wang Miao; Zhe Xu; Jie Geng; Wen Jiang; | IEEE Transactions on Geoscience and Remote Sensing | 2023-01-01 |
| 1174 | Context-Aware 3D Point Cloud Semantic Segmentation With Plane Guidance IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Point cloud segmentation is fundamental in under- standing 3D environments. However, most existing methods usually perform poorly on identifying boundaries of touching objects and … |
Tingyu Weng; Junhao Xiao; Feilong Yan; Haiyong Jiang; | IEEE Transactions on Multimedia | 2023-01-01 |
| 1175 | SPGAN-DA: Semantic-Preserved Generative Adversarial Network for Domain Adaptive Remote Sensing Image Semantic Segmentation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Unsupervised domain adaptation for remote sensing semantic segmentation seeks to adapt a model trained on the labeled source domain to the unlabeled target domain. One of the most … |
Yansheng Li; Te Shi; Yongjun Zhang; Jiayi Ma; | IEEE Transactions on Geoscience and Remote Sensing | 2023-01-01 |
| 1176 | CM-Unet: A Novel Remote Sensing Image Segmentation Method Based on Improved U-Net Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation is an active research area for high-resolution (HR) remote sensing image processing. Most existing algorithms are better at segmenting different features. … |
Mengtian Cui; K. Li; Jianying Chen; Wei Yu; | IEEE Access | 2023-01-01 |
| 1177 | Multimodal Remote Sensing Image Segmentation With Intuition-Inspired Hypergraph Modeling IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Multimodal remote sensing (RS) image segmentation aims to comprehensively utilize multiple RS modalities to assign pixel-level semantics to the studied scenes, which can provide a … |
QI HE et. al. | IEEE Transactions on Image Processing | 2023-01-01 |
| 1178 | SS-IPLE: Semantic Segmentation of Electric Power Corridor Scene and Individual Power Line Extraction From UAV-Based Lidar Point Cloud Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Key objects’ semantic segmentation and power line extraction from the electric power corridor point cloud are critical steps in power line inspection. However, the massive amount … |
XIUNING LIU et. al. | IEEE Journal of Selected Topics in Applied Earth … | 2023-01-01 |
| 1179 | GroupPrompter: A Prompting Method for Semantic Segmentation Based on SAM Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The SAM shows remarkable generalization and transformable capabilities for category-agnostic segmentation. Although the semantics in latent space are explored slightly, more … |
Yichuang Luo; Fang Wang; Jing Xing; Xiaohu Liu; | IEEE Access | 2023-01-01 |
| 1180 | Infrared Thermal Image Instance Segmentation Method for Power Substation Equipment Based on Visual Feature Reasoning IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The accurate infrared thermal image instance segmentation of substation equipment is a prerequisite for intelligent analysis of its temperature status. To address the issues of … |
Zhenbing Zhao; Shuo Feng; Yongjie Zhai; Wenqing Zhao; Gang Li; | IEEE Transactions on Instrumentation and Measurement | 2023-01-01 |
| 1181 | PointNest: Learning Deep Multiscale Nested Feature Propagation for Semantic Segmentation of 3-D Point Clouds Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: 3-D point cloud semantic segmentation is a fundamental task for scene understanding, but this task remains challenging due to the diverse scene classes, data defects, and … |
Jie Wan; Ziyin Zeng; Qinjun Qiu; Zhong Xie; Yongyang Xu; | IEEE Journal of Selected Topics in Applied Earth … | 2023-01-01 |
| 1182 | Adaptive Context Transformer for Semisupervised Remote Sensing Image Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Current deep learning methods for semantic segmentation in remote sensing heavily depend on a substantial amount of labeled data. However, obtaining pixel-level labeled data in … |
Yunbo Li; Zhiyu Yi; Yuebin Wang; Liqiang Zhang; | IEEE Transactions on Geoscience and Remote Sensing | 2023-01-01 |
| 1183 | S&GDA: An Unsupervised Domain Adaptive Semantic Segmentation Framework Considering Both Imaging Scene and Geometric Domain Shifts Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Unsupervised domain adaptation uses labeled data from a source domain (SD) to help learn a target domain (TD) without any labeled data. Previous studies have not systematically … |
HUI CHEN et. al. | IEEE Transactions on Geoscience and Remote Sensing | 2023-01-01 |
| 1184 | DSM-Assisted Unsupervised Domain Adaptive Network for Semantic Segmentation of Remote Sensing Imagery IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The semantic segmentation of high-resolution remote sensing imagery (RSI) is an essential task for many applications. As a promising unsupervised learning method, unsupervised … |
SHUNPING ZHOU et. al. | IEEE Transactions on Geoscience and Remote Sensing | 2023-01-01 |
| 1185 | HoloParser: Holistic Visual Parsing for Real-Time Semantic Segmentation in Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Existing real-time semantic segmentation models usually pursue lower inference costs by compressing spatial resolution, reducing the number of feature extraction layers, or … |
SHU LI et. al. | IEEE Transactions on Instrumentation and Measurement | 2023-01-01 |
| 1186 | DAPS3D: Domain Adaptive Projective Segmentation of 3D LiDAR Point Clouds Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: LiDARs are one of the key sources of reliable environmental ranging information for autonomous vehicles. However, segmentation of 3D scene elements (roads, buildings, people, … |
A. KLOKOV et. al. | IEEE Access | 2023-01-01 |
| 1187 | Guiding Text-to-Image Diffusion Model Towards Grounded Generation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The goal of this paper is to augment a pre-trained text-toimage diffusion model with the ability of open-vocabulary objects grounding, i.e., simultaneously generating images and … |
ZIYI LI et. al. | ArXiv | 2023-01-01 |
| 1188 | Geometry-Injected Image-Based Point Cloud Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image-based methods have replicated the success from 2-D domain to 3-D point cloud semantic segmentation. However, when we directly apply 2-D techniques to the projected … |
Hui Shuai; Qingshan Liu; | IEEE Transactions on Geoscience and Remote Sensing | 2023-01-01 |
| 1189 | S4R: Self-Supervised Semantic Scene Reconstruction from RGB-D Scans Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Most deep learning approaches to comprehensive semantic modeling of 3D indoor spaces require costly dense annotations in the 3D domain. In this work, we explore a central 3D scene … |
J. HUANG et. al. | ArXiv | 2023-01-01 |
| 1190 | 3DSAM-adapter: Holistic Adaptation of SAM from 2D to 3D for Promptable Medical Image Segmentation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Despite that the segment anything model (SAM) achieved impressive results on general-purpose semantic segmentation with strong generalization ability on daily images, its … |
SHIZHAN GONG et. al. | ArXiv | 2023-01-01 |
| 1191 | Semantic Image Abstraction Using Panoptic Segmentation for Robotic Painting Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We propose a comprehensive pipeline for generating adaptable image abstractions from input pictures, tailored explicitly for robotic painting tasks. Our pipeline addresses several … |
Michael Stroh; J. Gülzow; Oliver Deussen; | International Symposium on Vision, Modeling, and … | 2023-01-01 |
| 1192 | Edge Detection Guide Network for Semantic Segmentation of Remote-Sensing Images IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The acquisition of high-resolution satellite and airborne remote sensing images has been significantly simplified due to the rapid development of sensor technology. Several … |
J. Jin; Wujie Zhou; Rongwang Yang; L. Ye; Lu Yu; | IEEE Geoscience and Remote Sensing Letters | 2023-01-01 |
| 1193 | Building Extraction From Very High-Resolution Remote Sensing Images Using Refine-UNet IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Accurate building extraction from very high-resolution (VHR) remote sensing images plays an important role in urban dynamic monitoring, planning, and management. However, it is … |
Weiyan Qiu; Lingjia Gu; Fang Gao; Tao Jiang; | IEEE Geoscience and Remote Sensing Letters | 2023-01-01 |
| 1194 | Learning Few-shot Segmentation from Bounding Box Annotations Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We present a new weakly-supervised few-shot semantic segmentation setting and a meta-learning method for tackling the new challenge. Different from existing settings, we leverage … |
Byeolyi Han; Tae-Hyun Oh; | 2023 IEEE/CVF Winter Conference on Applications of Computer … | 2023-01-01 |
| 1195 | Multi-modal Unsupervised Domain Adaptation for Semantic Image Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
Sijie Hu; Fabien Bonardi; S. Bouchafa; D. Sidibé; | Pattern Recognit. | 2023-01-01 |
| 1196 | SATTA: Semantic-Aware Test-Time Adaptation for Cross-Domain Medical Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View |
Yuhan Zhang; Kun Huang; Cheng Chen; Qiang Chen; P. Heng; | International Conference on Medical Image Computing and … | 2023-01-01 |
| 1197 | AI Based Image Segmentation of Cultural Heritage Objects Used for Multi-View Stereo 3D Reconstructions Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image segmentation (or masking) finds a very useful use case within 3D reconstruction of cultural heritage objects. The 3D re-constructions can be accelerated, reconstructing the … |
Hasan Kutlu; Felix Brucker; Ben Kallendrusch; Pedro Santos; Dieter W. Fellner; | Eurographics Workshop on Graphics and Cultural Heritage | 2023-01-01 |
| 1198 | 3D Point Cloud Semantic Segmentation System Based on Lightweight FPConv Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper, we proposed a 3D point cloud semantic segmentation system based on lightweight FPConv. In 3D point cloud mapping, data is depicted in a 3D space to represent 3D … |
Yunqi Fan; Kuan-Yu Liao; You-Sheng Xiao; Min-Hua Lu; Wei-Zhe Yan; | IEEE Access | 2023-01-01 |
| 1199 | Exploring Semantic Information Extraction From Different Data Forms in 3D Point Cloud Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: As a critical step in 3D scene understanding, semantic segmentation of point clouds has broad application scenarios, including intelligent driving, augmented reality, smart … |
Ansi Zhang; Song Li; Jie Wu; Shaobo Li; Bao Zhang; | IEEE Access | 2023-01-01 |
| 1200 | A Framework for Leveraging Interimage Information in Stereo Images for Enhanced Semantic Segmentation in Autonomous Driving Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation is a crucial task with wide-ranging applications, including autonomous driving and robot navigation. However, prevailing state-of-the-art methods primarily … |
Libo Sun; J. Bockman; Changming Sun; | IEEE Transactions on Instrumentation and Measurement | 2023-01-01 |
| 1201 | EPFNet: Edge-Prototype Fusion Network Toward Few-Shot Semantic Segmentation for Aerial Remote-Sensing Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Few-shot semantic segmentation is a technique that is receiving increasing attention. The aim of this approach is to enable models to segment objects with a few support images … |
Jiayi Wu; Chuanyi Qin; Yanli Ren; Guorui Feng; | IEEE Geoscience and Remote Sensing Letters | 2023-01-01 |
| 1202 | Few Shot Semantic Segmentation: A Review of Methodologies and Open Challenges IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation assigns category labels to each pixel in an image, enabling breakthroughs in fields such as autonomous driving and robotics. Deep Neural Networks have … |
Nicolás Catalano; Matteo Matteucci; | ArXiv | 2023-01-01 |
| 1203 | Land-Cover Classification With High-Resolution Remote Sensing Images Using Interactive Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep convolutional neural network (CNN) has been increasingly applied in interpretation of remote sensing image such as automatically mapping land cover. Although the automatic … |
Leilei Xu; Yujun Liu; Shanqiu Shi; Haotong Zhang; Dan Wang; | IEEE Access | 2023-01-01 |
| 1204 | BIBED-Seg: Block-in-Block Edge Detection Network for Guiding Semantic Segmentation Task of High-Resolution Remote Sensing Images IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Edge optimization of semantic segmentation results is a challenging issue in remote sensing image processing. This article proposes a semantic segmentation model guided by a … |
Baikai Sui; Yungang Cao; Xue Bai; Shuang Zhang; Ren-Fen Wu; | IEEE Journal of Selected Topics in Applied Earth … | 2023-01-01 |
| 1205 | Semantic Segmentation in Aerial Imagery Using Multi-level Contrastive Learning with Local Consistency IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation in large-scale aerial images is an extremely challenging task. On one hand, the limited ground truth, as compared to the vast area the images cover, greatly … |
Maofeng Tang; Konstantinos Georgiou; Hairong Qi; Cody Champion; Marc Bosch; | 2023 IEEE/CVF Winter Conference on Applications of Computer … | 2023-01-01 |
| 1206 | ViT-SAPS: Detail-Aware Transformer for Mechanical Assembly Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation of mechanical assembly images provides an effective way to monitor the assembly process and improve the product quality. Compared with other deep learning … |
Haitao Dong; Chengjun Chen; Jinlei Wang; Feixiang Shen; Yong Pang; | IEEE Access | 2023-01-01 |
| 1207 | Unseen Object Few-Shot Semantic Segmentation for Robotic Grasping Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation is a popular technology enabling robots to perceive and interact with the environment sufficiently. However, unseen objects in the new environment make it … |
Xiaozhen Liu; Yunzhou Zhang; Dexing Shan; | IEEE Robotics and Automation Letters | 2023-01-01 |
| 1208 | A Self-Supervised Transformer With Feature Fusion for SAR Image Semantic Segmentation in Marine Aquaculture Monitoring Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The rapid development of the marine aquaculture industry has brought about a series of environmental problems that need to be monitored and planned. There is abundant marine … |
Jianchao Fan; Jianlin Zhou; Xinzhe Wang; Jun Wang; | IEEE Transactions on Geoscience and Remote Sensing | 2023-01-01 |
| 1209 | A Category-Contrastive Guided-Graph Convolutional Network Approach for The Semantic Segmentation of Point Clouds Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The semantic segmentation of light detection and ranging (LiDAR) point clouds plays an important role in 3-D scene intelligent perception and semantic modeling. The unstructured, … |
XUZHE WANG et. al. | IEEE Journal of Selected Topics in Applied Earth … | 2023-01-01 |
| 1210 | Evaluation of Class Distribution and Class Combinations on Semantic Segmentation of 3D Point Clouds With PointNet Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Point clouds are generated by light imaging, detection and ranging (LIDAR) scanners or depth imaging cameras, which capture the geometry from the scanned objects with high … |
Eike Barnefske; H. Sternberg; | IEEE Access | 2023-01-01 |
| 1211 | Learning Temporal Distribution and Spatial Correlation for Universal Moving Object Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Universal moving object segmentation aims to provide a general model for videos from all types of natural scenes, as previous approaches are usually effective for specific or … |
Guanfang Dong; Chenqiu Zhao; Xichen Pan; Anup Basu; | ArXiv | 2023-01-01 |
| 1212 | Distilled Heterogeneous Feature Alignment Network for SAR Image Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Synthetic aperture radar (SAR) image semantic segmentation has attracted increasing attention in the remote-sensing community recently, due to SAR’s all-time and all-weather … |
Mengyu Gao; Jiping Xu; Jiabin Yu; Qiulei Dong; | IEEE Geoscience and Remote Sensing Letters | 2023-01-01 |
| 1213 | RingMo-SAM: A Foundation Model for Segment Anything in Multimodal Remote-Sensing Images IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The proposal of the segment anything model (SAM) has created a new paradigm for the deep-learning-based semantic segmentation field and has shown amazing generalization … |
ZHIYUAN YAN et. al. | IEEE Transactions on Geoscience and Remote Sensing | 2023-01-01 |
| 1214 | AttEntropy: Segmenting Unknown Objects in Complex Scenes Using The Spatial Attention Entropy of Semantic Segmentation Transformers Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Vision transformers have emerged as powerful tools for many computer vision tasks. It has been shown that their features and class tokens can be used for salient object … |
Krzysztof Lis; M. Rottmann; S. Honari; P. Fua; M. Salzmann; | ArXiv | 2022-12-29 |
| 1215 | Zero-Shot Object Segmentation Through Concept Distillation from Generative Image Foundation Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a novel method that enables the generation of general foreground-background segmentation models from simple textual descriptions, without requiring segmentation labels. |
Mischa Dombrowski; Hadrien Reynaud; Matthew Baugh; Bernhard Kainz; | arxiv-cs.CV | 2022-12-29 |
| 1216 | PanDepth: Joint Panoptic Segmentation and Depth Completion Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a multi-task model for panoptic segmentation and depth completion using RGB images and sparse depth maps. |
Juan Lagos; Esa Rahtu; | arxiv-cs.CV | 2022-12-29 |
| 1217 | Research on Image Feature Extraction Technology of Art Works Based on Image Segmentation Technology Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In recent years, artificial intelligence technology has developed rapidly, and image recognition and image retrieval based on intelligent technology are current research hotspots. … |
Junzhe Shen; | Proceedings of the 2022 5th International Conference on … | 2022-12-29 |
| 1218 | Interactive Segmentation of Radiance Fields IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present the ISRF method to interactively segment objects with fine structure and appearance. |
Rahul Goel; Dhawal Sirikonda; Saurabh Saini; PJ Narayanan; | arxiv-cs.CV | 2022-12-27 |
| 1219 | Efficient Semantic Segmentation on Edge Devices Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this project, we developed a real-time UNet based model and deployed that network on Jetson AGX Xavier module. |
FARSHAD SAFAVI et. al. | arxiv-cs.CV | 2022-12-27 |
| 1220 | Indoor 3D Point Cloud Segmentation Based on Multi-Constraint Graph Clustering Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Indoor scene point cloud segmentation plays an essential role in 3D reconstruction and scene classification. This paper proposes a multi-constraint graph clustering method (MCGC) … |
ZIWEI LUO et. al. | Remote. Sens. | 2022-12-26 |
| 1221 | Mal_CNN: An Enhancement for Malicious Image Classification Based on Neural Network Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In image analysis and processing, image segmentation is one of the most important functions. The outcomes of segmentation have such significance on all subsequent image analysis … |
P. M. Kavitha; B. Muruganantham; | Cybernetics and Systems | 2022-12-25 |
| 1222 | Push-the-Boundary: Boundary-aware Feature Propagation for Semantic Segmentation of 3D Point Clouds Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To improve the segmentation near object boundaries, we propose a boundary-aware feature propagation mechanism. |
Shenglan Du; Nail Ibrahimli; Jantien Stoter; Julian Kooij; Liangliang Nan; | arxiv-cs.CV | 2022-12-23 |
| 1223 | DuAT: Dual-Aggregation Transformer Network for Medical Image Segmentation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Abstract: Transformer-based models have been widely demonstrated to be successful in computer vision tasks by modelling long-range dependencies and capturing global representations. … |
FEILONG TANG et. al. | ArXiv | 2022-12-21 |
| 1224 | Lightweight Monocular Depth Estimation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The goal of our method is to create a lightweight machine-learning model in order to predict the depth value of each pixel given only a single RGB image as input with the Unet structure of the image segmentation network. |
Ruilin Ma; Shiyao Chen; Qin Zhang; | arxiv-cs.CV | 2022-12-21 |
| 1225 | Image Segmentation-based Unsupervised Multiple Objects Discovery Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Unsupervised object discovery aims to localize objects in images, while removing the dependence on annotations required by most deep learning-based methods. To address this problem, we propose a fully unsupervised, bottom-up approach, for multiple objects discovery. |
Sandra Kara; Hejer Ammar; Florian Chabot; Quoc-Cuong Pham; | arxiv-cs.CV | 2022-12-20 |
| 1226 | UniDA3D: Unified Domain Adaptive 3D Semantic Segmentation Pipeline Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we introduce a Unified Domain Adaptive 3D semantic segmentation pipeline (UniDA3D) to enhance the weak generalization ability, and bridge the point distribution gap between domains. |
BEN FEI et. al. | arxiv-cs.CV | 2022-12-20 |
| 1227 | DGNet: Distribution Guided Efficient Learning for Oil Spill Image Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Successful implementation of oil spill segmentation in synthetic aperture radar (SAR) images is vital for marine environmental protection. In this article, we develop an effective … |
Fang Chen; H. Balzter; Feixiang Zhou; Pengxin Ren; Huiyu Zhou; | IEEE Transactions on Geoscience and Remote Sensing | 2022-12-19 |
| 1228 | Semantic Segmentation for Remote Sensing Images Based on An AD-HRNet Model Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation for remote sensing images faces challenges of unbalanced category weight, rich context causing difficulties of recognition, blurred boundaries of multi-scale … |
Xue Yang; Xiang Fan; Mingjun Peng; Qingfeng Guan; Luliang Tang; | International Journal of Digital Earth | 2022-12-19 |
| 1229 | Lossy Compression to Reduce Latency of Local Image Transfer for Autonomous Off-Road Perception Systems Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Autonomous vehicles greatly rely on their perception system for navigation. Semantic segmentation provides a much better understanding of a vehicle’s surroundings than object … |
M. Faykus; Bradley Selee; Jon C. Calhoun; M. C. Smith; | 2022 IEEE International Conference on Big Data (Big Data) | 2022-12-17 |
| 1230 | Annotation By Clicks: A Point-Supervised Contrastive Variance Method for Medical Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel point-supervised contrastive variance method (PSCV) for medical image semantic segmentation, which only requires one pixel-point from each organ category to be annotated. |
Qing En; Yuhong Guo; | arxiv-cs.CV | 2022-12-16 |
| 1231 | Lightweight Integration of 3D Features to Improve 2D Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we show that image segmentation can benefit from 3D geometric information without requiring a 3D groundtruth, by training the geometric feature extraction and the 2D segmentation network jointly, in an end-to-end fashion, using only the 2D segmentation loss. |
Olivier Pradelle; Raphaelle Chaine; David Wendland; Julie Digne; | arxiv-cs.CV | 2022-12-16 |
| 1232 | SBSS: Stacking-Based Semantic Segmentation Framework for Very High-Resolution Remote Sensing Image IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation of very high-resolution (VHR) remote sensing images is a fundamental task for many applications. However, large variations in the scales of objects in those … |
Yuanzhi Cai; L. Fan; Yuan Fang; | IEEE Transactions on Geoscience and Remote Sensing | 2022-12-15 |
| 1233 | SBSS: Stacking-Based Semantic Segmentation Framework for Very High Resolution Remote Sensing Image Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Two ECS, i.e., ECS-MS and ECS-SS, are proposed and investigated in this study. |
Yuanzhi Cai; Lei Fan; Yuan Fang; | arxiv-cs.CV | 2022-12-15 |
| 1234 | Urban Scene Semantic Segmentation with Low-Cost Coarse Annotation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we show that coarse annotation is a low-cost but highly effective alternative for training semantic segmentation models. |
Anurag Das; Yongqin Xian; Yang He; Zeynep Akata; Bernt Schiele; | arxiv-cs.CV | 2022-12-15 |
| 1235 | Learning A Fast 3D Spectral Approach to Object Segmentation and Tracking Over Space and Time Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We pose video object segmentation as spectral graph clustering in space and time, with one graph node for each pixel and edges forming local space-time neighborhoods. |
Elena Burceanu; Marius Leordeanu; | arxiv-cs.CV | 2022-12-15 |
| 1236 | MAELi: Masked Autoencoder for Large-Scale LiDAR Point Clouds IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To demonstrate the potential of MAELi, we pre-train backbones in an end-to-end manner and show the effectiveness of our unsupervised pre-trained weights on the tasks of 3D object detection and semantic segmentation. |
Georg Krispel; David Schinagl; Christian Fruhwirth-Reisinger; Horst Possegger; Horst Bischof; | arxiv-cs.CV | 2022-12-14 |
| 1237 | Improved PSP-Net Segmentation Network for Automatic Detection of Neovascularization in Color Fundus Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Proliferative Diabetic Retinopathy (PDR) is a seri-ous retinal disease threatening diabetic patients. Intense retinal neovascularization in the retinal image is the most important … |
QIUMING LIU et. al. | 2022 IEEE International Conference on Visual Communications … | 2022-12-13 |
| 1238 | GPViT: A High Resolution Non-Hierarchical Vision Transformer with Group Propagation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We present the Group Propagation Vision Transformer (GPViT): a novel nonhierarchical (i.e. non-pyramidal) transformer model designed for general visual recognition with high-resolution features. |
Chenhongyi Yang; Jiarui Xu; Shalini De Mello; Elliot J. Crowley; Xiaolong Wang; | arxiv-cs.CV | 2022-12-13 |
| 1239 | Towards Deeper and Better Multi-view Feature Fusion for 3D Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: As limited by the network’s inflexibility, fused features can only pass through a decoder network, which affects model performance due to insufficient depth. To alleviate these drawbacks, in this paper, we argue that despite its simplicity, projecting unidirectionally multi-view 2D deep semantic features into the 3D space aligned with 3D deep semantic features could lead to better feature fusion. |
CHAOLONG YANG et. al. | arxiv-cs.CV | 2022-12-13 |
| 1240 | ALSO: Automotive Lidar Self-supervision By Occupancy Estimation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a new self-supervised method for pre-training the backbone of deep perception models operating on point clouds. |
Alexandre Boulch; Corentin Sautier; Björn Michele; Gilles Puy; Renaud Marlet; | arxiv-cs.CV | 2022-12-12 |
| 1241 | DeepCut: Unsupervised Segmentation Using Graph Neural Networks Clustering IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, this approach reduces the high-dimensional information encoded in the features to pair-wise scalar affinities. To address this limitation, this study introduces a lightweight Graph Neural Network (GNN) to replace classical clustering methods while optimizing for the same clustering objective function. |
Amit Aflalo; Shai Bagon; Tamar Kashti; Yonina Eldar; | arxiv-cs.CV | 2022-12-12 |
| 1242 | Multi-Sem Fusion: Multimodal Semantic Fusion for 3D Object Detection Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Nevertheless, the restricted resolution of 2D feature maps impedes accurate re-projection and often induces a pronounced boundary-blurring effect, which is primarily attributed to erroneous semantic segmentation. To well handle this limitation, we propose a general multi-modal fusion framework Multi-Sem Fusion (MSF) to fuse the semantic information from both the 2D image and 3D points scene parsing results. |
SHAOQING XU et. al. | arxiv-cs.CV | 2022-12-10 |
| 1243 | Tencent AVS: A Holistic Ads Video Dataset for Multi-modal Scene Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In addition, previous research tends to pay much attention to visual information yet ignores the multi-modal nature of videos. To fill this gap, we construct the Tencent `Ads Video Segmentation’~(TAVS) dataset in the ads domain to escalate multi-modal video analysis to a new level. |
JIE JIANG et. al. | arxiv-cs.CV | 2022-12-09 |
| 1244 | Open Vocabulary Semantic Segmentation with Patch Aligned Contrastive Learning IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We introduce Patch Aligned Contrastive Learning (PACL), a modified compatibility function for CLIP’s contrastive loss, intending to train an alignment between the patch tokens of the vision encoder and the CLS token of the text encoder. |
JISHNU MUKHOTI et. al. | arxiv-cs.CV | 2022-12-09 |
| 1245 | Weakly Supervised Semantic Segmentation Based on Image-level Class Labels with Deep Learning: A Survey Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The training of fully supervised semantic segmentation (FSSS) networks relies on a large amount of data with pixel-level class labels, which limits semantic segmentation’s … |
Yijiang Wang; Fen Luo; Hongxu Zhang; Zhanqiang Huo; | Proceedings of the 2022 11th International Conference on … | 2022-12-09 |
| 1246 | Real-time Semantic Segmentation Network Based on Improved BiSeNet V1 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Aiming at the problems of unclear boundaries and low segmentation accuracy in general real-time semantic segmentation networks, a real-time semantic segmentation network based on … |
Shanwei Zhao; Xuan Wu; Kaiwen Tian; | Proceedings of the 2022 11th International Conference on … | 2022-12-09 |
| 1247 | Latent Graph Representations for Critical View of Safety Assessment Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We show that our method not only outperforms several baseline methods when trained with bounding box annotations, but also scales effectively when trained with segmentation masks, maintaining state-of-the-art performance. |
ADITYA MURALI et. al. | arxiv-cs.CV | 2022-12-08 |
| 1248 | Domain Generalization of 3D Semantic Segmentation in Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Despite its importance, domain generalization is relatively unexplored in the case of 3D autonomous driving semantic segmentation. To fill this gap, this paper presents the first benchmark for this application by testing state-of-the-art methods and discussing the difficulty of tackling Laser Imaging Detection and Ranging (LiDAR) domain shifts. |
Jules Sanchez; Jean-Emmanuel Deschaud; Francois Goulette; | arxiv-cs.CV | 2022-12-07 |
| 1249 | Gaussian Radar Transformer for Semantic Segmentation in Noisy Radar Data IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Instead of aggregating multiple scans to densify the point clouds, we propose a novel approach based on the self-attention mechanism to accurately perform sparse, single-scan segmentation. |
Matthias Zeller; Jens Behley; Michael Heidingsfeld; Cyrill Stachniss; | arxiv-cs.CV | 2022-12-07 |
| 1250 | Mask R-CNN with Multi-Backbones – A Comparative Analysis Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Instance segmentation is a computer vision task for detecting and localizing an object in an image. It involves identifying, segmenting, and categorizing each object in an image. … |
Rufus Rubin; Chinnu Jacob; M. AnzarS.; Alavikunhu Panthakkan; | 2022 5th International Conference on Signal Processing and … | 2022-12-07 |
| 1251 | Stroke-based Semantic Segmentation for Scene-level Free-hand Sketches Related Papers Related Patents Related Grants Related Venues Related Experts View |
ZHENGMING ZHANG et. al. | The Visual Computer | 2022-12-07 |
| 1252 | MedSeq: Semantic Segmentation for Medical Image Sequences Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Medical image segmentation plays a critical role in computer-aided diagnosis, while the diversity and complexity of medical images make it difficult to segment precisely. In … |
RUNTIAN YUAN et. al. | 2022 IEEE International Conference on Bioinformatics and … | 2022-12-06 |
| 1253 | CLD-Net: Complement Local Detail For Medical Small-Object Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep learning has achieved outstanding performance in biomedical image segmentation. However, it still lacks attention to medical small-object segmentation scenarios, which is … |
RUI CHEN et. al. | 2022 IEEE International Conference on Bioinformatics and … | 2022-12-06 |
| 1254 | Single-Modality Endoscopic Polyp Segmentation Via Random Color Reversal Synthesis and Two-Branched Learning Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Endoscopic polyp segmentation plays a fundamental role in the diagnosis and treatment of colorectal cancer. However, polyp segmentation often suffers from limited accuracy due to … |
MINGZHU CHEN et. al. | 2022 IEEE International Conference on Bioinformatics and … | 2022-12-06 |
| 1255 | CAANet: CAM-guided Adaptive Attention Network for Weakly Supervised Semantic Segmentation of Thyroid Nodules Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep learning-based thyroid ultrasound image segmentation is of great importance in clinical diagnosis. The Weakly Supervised Semantic Segmentation (WSSS) models requiring only … |
RUIGUO YU et. al. | 2022 IEEE International Conference on Bioinformatics and … | 2022-12-06 |
| 1256 | Multi-Scale Feature Aggregation Network for Semantic Segmentation of Land Cover Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Land cover semantic segmentation is an important technique in land. It is very practical in land resource protection planning, geographical classification, surveying and mapping … |
Xu Shen; L. Weng; Min Xia; Haifeng Lin; | Remote. Sens. | 2022-12-05 |
| 1257 | Location-Aware Self-Supervised Transformers for Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we pretrain network with a location-aware (LOCA) self-supervised method which fosters the emergence of strong dense features. |
Mathilde Caron; Neil Houlsby; Cordelia Schmid; | arxiv-cs.CV | 2022-12-05 |
| 1258 | A Hyperspectral and RGB Dataset for Building Facade Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, we investigated deep learning based semantic segmentation algorithms on RGB and hyperspectral images to classify various building materials, such as timber, brick and concrete. |
NARIMAN HABILI et. al. | arxiv-cs.CV | 2022-12-05 |
| 1259 | SASFormer: Transformers for Sparsely Annotated Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose a simple yet effective sparse annotated semantic segmentation framework based on segformer, dubbed SASFormer, that achieves remarkable performance. |
Hui Su; Yue Ye; Wei Hua; Lechao Cheng; Mingli Song; | arxiv-cs.CV | 2022-12-04 |
| 1260 | CONDA: Continual Unsupervised Domain Adaptation Learning in Visual Perception for Self-Driving Cars Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Also, the previous data training of segmentation models may be inaccessible due to privacy problems. Therefore, to address these problems, in this work, we propose a Continual Unsupervised Domain Adaptation (CONDA) approach that allows the model to continuously learn and adapt with respect to the presence of the new data. |
Thanh-Dat Truong; Pierce Helton; Ahmed Moustafa; Jackson David Cothren; Khoa Luu; | arxiv-cs.CV | 2022-12-01 |
| 1261 | Real-time Semantic Segmentation in Traffic Scene Based on Cross Stage Partial Block Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Real-time semantic segmentation in traffic scenes takes an essential part in the fields of autonomous driving. The encoder-decoder-based network architecture can well combine the … |
Lian Liu; Liguo Zhou; Zhenshan Bing; Ruining Wang; Alois Knoll; | 2022 IEEE Smartworld, Ubiquitous Intelligence & Computing, … | 2022-12-01 |
| 1262 | Pedestrian Detection for Autonomous Cars: Inference Fusion of Deep Neural Networks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Network fusion has been recently explored as an approach for improving pedestrian detection performance. However, most existing fusion methods suffer from runtime efficiency, … |
M. Islam; vvAbdullah Al Redwan Newaz; A. Karimoddini; | IEEE Transactions on Intelligent Transportation Systems | 2022-12-01 |
| 1263 | 3D Segmentation of Humans in Point Clouds with Synthetic Data IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Few works have attempted to directly segment humans in cluttered 3D scenes, which is largely due to the lack of annotated training data of humans interacting with 3D scenes. We address this challenge and propose a framework for generating training data of synthetic humans interacting with real 3D scenes. |
AYÇA TAKMAZ et. al. | arxiv-cs.CV | 2022-12-01 |
| 1264 | Multi-Class Segmentation from Aerial Views Using Recursive Noise Diffusion IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, aerial images present unique challenges such as diverse viewpoints, extreme scale variations, and high scene complexity. In this paper, we propose an end-to-end multi-class semantic segmentation diffusion model that addresses these challenges. |
Benedikt Kolbeinsson; Krystian Mikolajczyk; | arxiv-cs.CV | 2022-12-01 |
| 1265 | Vision-Based Semantic Segmentation in Scene Understanding for Autonomous Driving: Recent Achievements, Challenges, and Outlooks IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Scene understanding plays a crucial role in autonomous driving by utilizing sensory data for contextual information extraction and decision making. Beyond modeling advances, the … |
K. MUHAMMAD et. al. | IEEE Transactions on Intelligent Transportation Systems | 2022-12-01 |
| 1266 | Semantic Segmentation Algorithm for Night Traffic Scene Based on Visible and Infrared Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: At present, there are many semantic segmentation algorithms with excellent performance for intelligent driving vehicles, but most of them are only work well on scenes with good … |
Xiaona Xie; Zhiyong Xu; Jiang Tao; Jianying Yuan; Sidong Wu; | 2022 3rd Asia Conference on Computers and Communications … | 2022-12-01 |
| 1267 | Light Transport Induced Domain Adaptation for Semantic Segmentation in Thermal Infrared Urban Scenes IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation in urban scenes is widely used in applications of intelligent transportation systems (ITS). In urban scenes, thermal infrared (TIR) images can be captured in … |
JUNZHANG CHEN et. al. | IEEE Transactions on Intelligent Transportation Systems | 2022-12-01 |
| 1268 | Interactive RGB Image Segmentation Via Depth-modified Click Encoding and Estimated Depth Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Interactive image segmentation separates the object of interest in the scene from the background, using the help of human annotations. Click-based interactive segmentation methods … |
Furkan Kaynar; Adrian Michl; E. Steinbach; | 2022 IEEE International Symposium on Multimedia (ISM) | 2022-12-01 |
| 1269 | Unsupervised Domain Adaptation for Semantic Segmentation of Urban Street Scenes Reflected By Convex Mirrors Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Reflective convex mirrors are often used on street corners or as passenger-side mirrors on cars to obtain scene information by reflecting blind spots in the field of view, which … |
Yongjie Shi; Xianghua Ying; H. Zha; | IEEE Transactions on Intelligent Transportation Systems | 2022-12-01 |
| 1270 | Component Segmentation of Engineering Drawings Using Graph Convolutional Networks Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a data-driven framework to automate the vectorization and machine interpretation of 2D engineering part drawings. |
WENTAI ZHANG et. al. | arxiv-cs.CV | 2022-12-01 |
| 1271 | BANet: Boundary-Assistant Encoder-Decoder Network for Semantic Segmentation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recently, boundary information has gained great attraction for semantic segmentation. This paper presents a novel encoder-decoder network, called BANet, for accurate semantic … |
Quan Zhou; Yong Qiang; Yuwei Mo; Xiaofu Wu; Longin Jan Latecki; | IEEE Transactions on Intelligent Transportation Systems | 2022-12-01 |
| 1272 | Geometry-Aware Network for Domain Adaptive Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a novel Geometry-Aware Network for Domain Adaptation (GANDA), leveraging more compact 3D geometric point cloud representations to shrink the domain gaps. |
YINGHONG LIAO et. al. | arxiv-cs.CV | 2022-12-01 |
| 1273 | Parallel Dense Merging Network with Dilated Convolutions for Semantic Segmentation of Sports Movement Scene Related Papers Related Patents Related Grants Related Venues Related Experts View |
Dongya Huang; Ling Zhang; | KSII Trans. Internet Inf. Syst. | 2022-11-30 |
| 1274 | Extracting Semantic Knowledge from GANs with Unsupervised Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a novel clustering algorithm, named KLiSH, which leverages the linear separability to cluster GAN’s features. |
Jianjin Xu; Zhaoxiang Zhang; Xiaolin Hu; | arxiv-cs.CV | 2022-11-29 |
| 1275 | Semi-Supervised Confidence-Level-based Contrastive Discrimination for Class-Imbalanced Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To overcome the data-hungry challenge, we have proposed a semi-supervised contrastive learning framework for the task of class-imbalanced semantic segmentation. |
Kangcheng Liu; | arxiv-cs.CV | 2022-11-27 |
| 1276 | Rethinking Alignment and Uniformity in Unsupervised Image Semantic Segmentation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Unsupervised image semantic segmentation(UISS) aims to match low-level visual features with semantic-level representations without outer supervision. In this paper, we address the … |
DAOAN ZHANG et. al. | ArXiv | 2022-11-26 |
| 1277 | Cascaded ASPP and Attention Mechanism-based Deeplabv3+ Semantic Segmentation Model Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deeplabv3+ is a standard semantic segmentation model, which adds decoding structure to recover spatial information of the image and uses the Atrous Spatial Pyramid Pooling (ASPP) … |
Shuaiping Guo; Changming Zhu; | 2022 IEEE 8th International Conference on Cloud Computing … | 2022-11-26 |
| 1278 | Rethinking Alignment and Uniformity in Unsupervised Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we address the critical properties from the view of feature alignments and feature uniformity for UISS models. |
DAOAN ZHANG et. al. | arxiv-cs.CV | 2022-11-26 |
| 1279 | Satellite Remote Sensing Identification of Discolored Standing Trees for Pine Wilt Disease Based on Semi-Supervised Deep Learning IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Pine wilt disease (PWD) is the most dangerous biohazard of pine species and poses a serious threat to forest resources. Coupling satellite remote sensing technology and deep … |
JIAHAO WANG et. al. | Remote. Sens. | 2022-11-23 |
| 1280 | Peekaboo: Text to Image Diffusion Models Are Zero-Shot Segmentors IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we explore how an off-the-shelf text-to-image diffusion model, trained without exposure to localization information, can ground various semantic phrases without segmentation-specific re-training. |
Ryan Burgert; Kanchana Ranasinghe; Xiang Li; Michael S. Ryoo; | arxiv-cs.CV | 2022-11-23 |
| 1281 | Convolutional Neural Networks for Semantic Segmentation: A Recent Survey Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image segmentation is one of the most researched problems in computer vision. Various algorithms and techniques in artificial intelligence and machine learning were used and … |
Abdelrahman Kaseb; Mahmoud Khaled; Omar Galal; | 2022 International Arab Conference on Information … | 2022-11-22 |
| 1282 | ONeRF: Unsupervised 3D Object Segmentation from Multiple Views Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present ONeRF, a method that automatically segments and reconstructs object instances in 3D from multi-view RGB images without any additional manual annotations. |
Shengnan Liang; Yichen Liu; Shangzhe Wu; Yu-Wing Tai; Chi-Keung Tang; | arxiv-cs.CV | 2022-11-22 |
| 1283 | Computational Imaging for Machine Perception: Transferring Semantic Segmentation Beyond Aberrations Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we pioneer the investigation of Semantic Segmentation under Optical Aberrations (SSOA) with MOS. |
QI JIANG et. al. | arxiv-cs.CV | 2022-11-21 |
| 1284 | Synthetic Data for Semantic Image Segmentation of Imagery of Unmanned Spacecraft Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, recent studies show that these strong results in broad and common domains may generalize poorly even to specific industrial applications on earth. To address this, we propose a method for generating synthetic image data that are labelled for semantic segmentation, generalizable to other tasks, and provide a prototype synthetic image dataset consisting of 2D monocular images of unmanned spacecraft, in order to enable further research in the area of autonomous spacecraft rendezvous. |
William S. Armstrong; Spencer Drakontaidis; Nicholas Lui; | arxiv-cs.CV | 2022-11-21 |
| 1285 | Semantic Segmentation of Substation Site Cloud Based on Seg-PointNet Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: 3D point cloud semantic segmentation has been widely used in industrial scenes and has attracted continuous attention as a critical technology for understanding the intelligent … |
W. Gao; Lixia Zhang; | J. Adv. Comput. Intell. Intell. Informatics | 2022-11-20 |
| 1286 | Doubly Contrastive End-to-End Semantic Segmentation for Autonomous Driving Under Adverse Weather Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: As such, we propose a doubly contrastive approach to improve the performance of a more practical lightweight model for self-driving, specifically under adverse weather conditions such as fog, nighttime, rain and snow. |
Jongoh Jeong; Jong-Hwan Kim; | arxiv-cs.CV | 2022-11-20 |
| 1287 | Cross-scale Sampling Transformer for Semantic Image Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In increasingly complex scenes, multi-scale information fusion becomes more and more critical for semantic image segmentation. Various methods are proposed to model multi-scale … |
Yizhe Ma; Long Yu; Fangjian Lin; Sheng Tian; | J. Intell. Fuzzy Syst. | 2022-11-18 |
| 1288 | Multi-Field Context Fusion Network for Semantic Segmentation of High-Spatial-Resolution Remote Sensing Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: High spatial resolution (HSR) remote sensing images have a wide range of application prospects in the fields of urban planning, agricultural planning and military training. … |
Xinran Du; Shumeng He; Houqun Yang; Chunxiao Wang; | Remote. Sens. | 2022-11-17 |
| 1289 | A Morphological Post-Processing Approach for Overlapped Segmentation of Bacterial Cell Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Scanning electron microscopy (SEM) techniques have been extensively performed to image and study bacterial cells with high-resolution images. Bacterial image segmentation in SEM … |
Dilanga L. B. Abeyrathna; Shailabh Rauniyar; R. Sani; Pei-Chi Huang; | Mach. Learn. Knowl. Extr. | 2022-11-17 |
| 1290 | A Brief Comparison of Deep Learning Methods for Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation is widely used in many fields, which is the key and difficult point in computer vision field.In recent years, with the rapid development of deep learning, … |
Chang-Bin Zhang; Xiangyun Bai; | Proceedings of the 2022 11th International Conference on … | 2022-11-17 |
| 1291 | Robust Online Video Instance Segmentation with Track Queries Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This makes them incapable of handling the long videos that appear in challenging new video instance segmentation datasets like UVO and OVIS. We propose a fully online transformer-based video instance segmentation model that performs comparably to top offline methods on the YouTube-VIS 2019 benchmark and considerably outperforms them on UVO and OVIS. |
Zitong Zhan; Daniel McKee; Svetlana Lazebnik; | arxiv-cs.CV | 2022-11-16 |
| 1292 | Interclass Prototype Relation for Few-Shot Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This study proposes the Interclass Prototype Relation Network (IPRNet), which improves the separation performance by reducing the similarity between other classes. |
Atsuro Okazawa; | arxiv-cs.CV | 2022-11-16 |
| 1293 | Backdoor Attacks for Remote Sensing Data with Wavelet Transform IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we provide a systematic analysis of backdoor attacks for remote sensing data, where both scene classification and semantic segmentation tasks are considered. |
Nikolaus Dräger; Yonghao Xu; Pedram Ghamisi; | arxiv-cs.CV | 2022-11-15 |
| 1294 | E-MPSPNet: Ice-Water SAR Scene Segmentation Based on Multi-Scale Semantic Features and Edge Supervision Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Distinguishing sea ice and water is crucial for safe navigation and carrying out offshore activities in ice zones. However, due to the complexity and dynamics of the ice–water … |
Wei Song; Hongtao Li; Qi He; G. Gao; A. Liotta; | Remote. Sens. | 2022-11-14 |
| 1295 | Visual Semantic Segmentation Based on Few/Zero-Shot Learning: An Overview Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Visual semantic segmentation aims at separating a visual sample into diverse blocks with specific semantic attributes and identifying the category for each block, and it plays a … |
Wenqi Ren; Yang Tang; Qiyu Sun; Chaoqiang Zhao; Qing‐Long Han; | ArXiv | 2022-11-13 |
| 1296 | Gaussian Dynamic Convolution for Semantic Segmentation in Remote Sensing Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Different scales of the objects pose a great challenge for the segmentation of remote sensing images of special scenes. This paper focuses on the problem of large-scale variations … |
Min Feng; Xin Sun; Junyu Dong; Haoran Zhao; | Remote. Sens. | 2022-11-13 |
| 1297 | Interactive Image Segmentation Based on Feature-Aware Attention Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Interactive segmentation is a technique for picking objects of interest in images according to users’ input interactions. Some recent works take the users’ interactive input to … |
Jinsheng Sun; Xiaojuan Ban; B. Han; X. Yang; Chao Yao; | Symmetry | 2022-11-12 |
| 1298 | A Benchmark for Out of Distribution Detection in Point Cloud 3D Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: So in this study, we proposed two datasets for benchmarking OOD detection in 3D semantic segmentation. |
Lokesh Veeramacheneni; Matias Valdenegro-Toro; | arxiv-cs.CV | 2022-11-11 |
| 1299 | LiDAL: Inter-frame Uncertainty Based Active Learning for 3D LiDAR Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose LiDAL, a novel active learning method for 3D LiDAR semantic segmentation by exploiting inter-frame uncertainty among LiDAR frames. |
ZEYU HU et. al. | arxiv-cs.CV | 2022-11-10 |
| 1300 | High-Quality Entity Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Given the high-quality and -resolution nature of the dataset, we propose CropFormer which is designed to tackle the intractability of instance-level segmentation on high-resolution images. |
LU QI et. al. | arxiv-cs.CV | 2022-11-10 |
| 1301 | OGC: Unsupervised 3D Object Segmentation from Rigid Dynamics of Point Clouds IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Unlike all existing methods which usually require a large amount of human annotations for full supervision, we propose the first unsupervised method, called OGC, to simultaneously identify multiple 3D objects in a single forward pass, without needing any type of human annotations. |
Ziyang Song; Bo Yang; | nips | 2022-11-06 |
| 1302 | Expansion and Shrinkage of Localization for Weakly-Supervised Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: The original CAM method usually produces incomplete and inaccurate localization maps. To tackle with this issue, this paper proposes an Expansion and Shrinkage scheme based on the offset learning in the deformable convolution, to sequentially improve the \textbf{recall} and \textbf{precision} of the located object in the two respective stages. |
JINLONG LI; Zequn Jie; Xu Wang; Xiaolin Wei; Lin Ma; | nips | 2022-11-06 |
| 1303 | MultiScan: Scalable RGBD Scanning for 3D Environments with Articulated Objects IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We introduce MultiScan, a scalable RGBD dataset construction pipeline leveraging commodity mobile devices to scan indoor scenes with articulated objects and web-based semantic annotation interfaces to efficiently annotate object and part semantics and part mobility parameters. |
Yongsen Mao; Yiming Zhang; Hanxiao Jiang; Angel Chang; Manolis Savva; | nips | 2022-11-06 |
| 1304 | Self-Supervised Visual Representation Learning with Semantic Grouping IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Instead, we propose contrastive learning from data-driven semantic slots, namely SlotCon, for joint semantic grouping and representation learning. |
Xin Wen; Bingchen Zhao; Anlin Zheng; Xiangyu Zhang; Xiaojuan Qi; | nips | 2022-11-06 |
| 1305 | Unsupervised Multi-View Object Segmentation Using Radiance Field Propagation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present radiance field propagation (RFP), a novel approach to segmenting objects in 3D during reconstruction given only unlabeled multi-view images of a scene. |
Xinhang Liu; Jiaben Chen; Huai Yu; Yu-Wing Tai; Chi-Keung Tang; | nips | 2022-11-06 |
| 1306 | Weak-shot Semantic Segmentation Via Dual Similarity Transfer Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To this end, we focus on the problem named weak-shot semantic segmentation, where the novel classes are learnt from cheaper image-level labels with the support of base classes having off-the-shelf pixel-level labels. |
JUNJIE CHEN et. al. | nips | 2022-11-06 |
| 1307 | Adversarial Style Augmentation for Domain Generalized Urban-Scene Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a novel adversarial style augmentation approach for domain generalization in semantic segmentation, which is easy to implement and can effectively improve the model performance on unseen real domains. |
Zhun Zhong; Yuyang Zhao; Gim Hee Lee; Nicu Sebe; | nips | 2022-11-06 |
| 1308 | Semantic Difference Convolution for Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose an efficient boundary-aware convolution operator to boost the boundary modeling capacity for semantic segmentation, named Semantic Difference Convolution (SDC). |
Haoru Tan; Sitong Wu; Jimin Pi; | nips | 2022-11-06 |
| 1309 | Joint Learning of 2D-3D Weakly Supervised Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a novel 2D-3D joint framework for learning 2D and 3D weakly supervised semantic segmentation using image- and scene-level classification labels only. |
Hyeokjun Kweon; Kuk-Jin Yoon; | nips | 2022-11-06 |
| 1310 | Analysing The Effectiveness of A Generative Model for Semi-supervised Medical Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In such settings, semi-supervised learning (SSL) attempts to leverage the abundance of unlabelled data to obtain more robust and reliable models. Recently, generative models have been proposed for semantic segmentation, as they make an attractive choice for SSL. |
Margherita Rosnati; Fabio De Sousa Ribeiro; Miguel Monteiro; Daniel Coelho de Castro; Ben Glocker; | arxiv-cs.CV | 2022-11-03 |
| 1311 | Quantifying Model Uncertainty for Semantic Segmentation Using Operators in The RKHS Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a simple framework for high-resolution predictive uncertainty quantification of semantic segmentation models that leverages a multi-moment functional definition of uncertainty associated with the model’s feature space in the reproducing kernel Hilbert space (RKHS). |
Rishabh Singh; Jose C. Principe; | arxiv-cs.CV | 2022-11-03 |
| 1312 | Hypergraph Convolutional Network Based Weakly Supervised Point Cloud Semantic Segmentation with Scene-Level Annotations Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel weighted hypergraph convolutional network-based method, called WHCN, to confront the challenges of learning point-wise labels from scene-level annotations. |
Zhuheng Lu; Peng Zhang; Yuewei Dai; Weiqing Li; Zhiyong Su; | arxiv-cs.CV | 2022-11-02 |
| 1313 | A Semantic Segmentation Method for High-resolution Remote Sensing Images Based on Encoder-Decoder Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Image segmentation is a key technology in remote sensing image interpretation, and it is widely used in many fields. Aiming at the common problems of low segmentation accuracy and … |
JINGYU YANG et. al. | 2022 Tenth International Conference on Advanced Cloud and … | 2022-11-01 |
| 1314 | Multiscale Lightweight 3D Segmentation Algorithm with Attention Mechanism: Brain Tumor Image Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
Hengxin Liu; Guoqiang Huo; Qiang Li; Xin Guan; M. Tseng; | Expert Syst. Appl. | 2022-11-01 |
| 1315 | SFNet-N: An Improved SFNet Algorithm for Semantic Segmentation of Low-Light Autonomous Driving Road Scenes IF:4 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In recent years, considerable progress has been made in semantic segmentation of images with favorable environments. However, the environmental perception of autonomous driving … |
HAI WANG et. al. | IEEE Transactions on Intelligent Transportation Systems | 2022-11-01 |
| 1316 | Deep Edge Enhancement-based Semantic Segmentation Network for Farmland Segmentation with Satellite Imagery Related Papers Related Patents Related Grants Related Venues Related Experts View |
WEI SUN et. al. | Comput. Electron. Agric. | 2022-11-01 |
| 1317 | UrbanLF: A Comprehensive Light Field Dataset for Semantic Segmentation of Urban Scenes IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: As one of the fundamental technologies for scene understanding, semantic segmentation has been widely explored in the last few years. Light field cameras encode the geometric … |
HAO SHENG et. al. | IEEE Transactions on Circuits and Systems for Video … | 2022-11-01 |
| 1318 | Max Pooling with Vision Transformers Reconciles Class and Shape in Weakly Supervised Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This work proposes a new WSSS method dubbed ViT-PCM (ViT Patch-Class Mapping), not based on CAM. |
Simone Rossetti; Damiano Zappia; Marta Sanzari; Marco Schaerf; Fiora Pirri; | arxiv-cs.CV | 2022-10-31 |
| 1319 | Self-Regularized Prototypical Network for Few-Shot Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we tackle the few-shot segmentation using a self-regularized prototypical network (SRPNet) based on prototype extraction for better utilization of the support information. |
Henghui Ding; Hui Zhang; Xudong Jiang; | arxiv-cs.CV | 2022-10-30 |
| 1320 | Research on The Application of Unet with Convolutional Block Attention Module to Semantic Segmentation Task IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Attention mechanism can focus on important features and suppress unnecessary features, to increase the representational power of the network, which plays an important role in … |
Xiaotong Fang; | Proceedings of the 2022 5th International Conference on … | 2022-10-28 |
| 1321 | Accelerating Diffusion Models Via Pre-segmentation Diffusion Sampling for Medical Image Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Based on the Denoising Diffusion Probabilistic Model (DDPM), medical image segmentation can be described as a conditional image generation task, which allows to compute pixel-wise … |
XUTAO GUO et. al. | ArXiv | 2022-10-27 |
| 1322 | Weakly Supervised Pavement Crack Semantic Segmentation Based on Multi-scale Object Localization and Incremental Annotation Refinement IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
Zaid Al-Huda; Bo Peng; Riyadh Nazar Ali Algburi; Saghir Alfasly; Tianrui Li; | Applied Intelligence | 2022-10-27 |
| 1323 | Fast and Efficient Scene Categorization for Autonomous Driving Using VAEs Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose to generate a fast and efficient intermediate interpretable generalized global descriptor that captures coarse features from the image and use a classification head to map the descriptors to 3 scene categories: Rural, Urban and Suburban. |
Saravanabalagi Ramachandran; Jonathan Horgan; Ganesh Sistu; John McDonald; | arxiv-cs.CV | 2022-10-26 |
| 1324 | RGB-T Semantic Segmentation with Location, Activation, and Sharpening IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a novel feature fusion-based network for RGB-T semantic segmentation, named \emph{LASNet}, which follows three steps of location, activation, and sharpening. |
Gongyang Li; Yike Wang; Zhi Liu; Xinpeng Zhang; Dan Zeng; | arxiv-cs.CV | 2022-10-26 |
| 1325 | From Colouring-in to Pointillism: Revisiting Semantic Segmentation Supervision IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Here we propose instead a pointillist approach for semantic segmentation annotation, where only point-wise yes/no questions are answered. |
Rodrigo Benenson; Vittorio Ferrari; | arxiv-cs.CV | 2022-10-25 |
| 1326 | SphNet: A Spherical Network for Semantic Pointcloud Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation for robotic systems can enable a wide range of applications, from self-driving cars and augmented reality systems to domestic robots. We argue that a … |
Lukas Bernreiter; Lionel Ott; R. Siegwart; César Cadena; | 2023 IEEE International Conference on Robotics and … | 2022-10-24 |
| 1327 | Domain Generalization in Medical Image Segmentation Via Meta-Learners Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Automatic and semi-automatic radiological image segmentation can help physicians in the processing of real-world medical data for several tasks such as detection/diagnosis of … |
H. Oliveira; R. M. Cesar; P. H. T. Gama; J. D. Santos; | 2022 35th SIBGRAPI Conference on Graphics, Patterns and … | 2022-10-24 |
| 1328 | MPT-Net: Mask Point Transformer Network for Large Scale Point Cloud Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Point cloud semantic segmentation is important for road scene perception, a task for driverless vehicles to achieve full fledged autonomy. In this work, we introduce Mask Point … |
Zhe Tang; Tat-Jen Cham; | 2022 IEEE/RSJ International Conference on Intelligent … | 2022-10-23 |
| 1329 | Low-Latency LiDAR Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Several methods of semantic segmentation using light detection and ranging (LiDAR) sensors have been proposed for the recognition of surrounding objects by autonomous driving … |
Takahiro Hori; T. Yairi; | 2022 IEEE/RSJ International Conference on Intelligent … | 2022-10-23 |
| 1330 | A Multi-Granularity Scene Segmentation Network for Human-Robot Collaboration Environment Perception Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Human-robot collaboration (HRC) has been considered as a promising paradigm towards futuristic human-centric smart manufacturing, to meet the thriving needs of mass … |
Junming Fan; Pai Zheng; Carman K. M. Lee; | 2022 IEEE/RSJ International Conference on Intelligent … | 2022-10-23 |
| 1331 | PUA-MOS: End-to-End Point-wise Uncertainty Weighted Aggregation for Moving Object Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Segmenting moving objects in the 3D LiDAR point cloud can provide important guidance to localization, mapping and decision-making for self-driving vehicles. As for the … |
Cheng Chi; Peiliang Li; Xiaozhi Chen; Xin Yang; | 2022 IEEE/RSJ International Conference on Intelligent … | 2022-10-23 |
| 1332 | SLAMs: Semantic Learning Based Activation Map for Weakly Supervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a novel semantic learning based framework, named SLAMs (Semantic Learning based Activation Map), for WSSS. |
Junliang Chen; Xiaodong Zhao; Minmin Liu; Linlin Shen; | arxiv-cs.CV | 2022-10-22 |
| 1333 | ESS: Learning Event-Based Semantic Segmentation from Still Images IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we introduce ESS (Event-based Semantic Segmentation), which tackles this problem by directly transferring the semantic segmentation task from existing labeled image datasets to unlabeled events via unsupervised domain adaptation (UDA). |
Zhaoning Sun; Nico Messikommer; Daniel Gehrig; Davide Scaramuzza; | eccv | 2022-10-19 |
| 1334 | PseudoClick: Interactive Image Segmentation with Click Imitation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To this end, we propose PseudoClick, a generic framework that enables existing segmentation networks to propose candidate next clicks. |
QIN LIU et. al. | eccv | 2022-10-19 |
| 1335 | Drive\&Segment: Unsupervised Semantic Segmentation of Urban Scenes Via Cross-Modal Distillation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This work investigates learning pixel-wise semantic image segmentation in urban scenes without any manual annotation, just from the raw non-curated data collected by cars which, equipped with cameras and LiDAR sensors, drive around a city. |
ANTONIN VOBECKY et. al. | eccv | 2022-10-19 |
| 1336 | 4DContrast: Contrastive Learning with Dynamic Correspondences for 3D Scene Understanding IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a new approach to instill 4D dynamic object priors into learned 3D representations by unsupervised pre-training. |
Yujin Chen; ner Matthias Nieß Angela Dai; | eccv | 2022-10-19 |
| 1337 | RankSeg: Adaptive Pixel Classification with Image Category Ranking for Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: On the other hand, in a typical image or video, only a few categories, i.e., a small subset of the complete label are present. Motivated by this intuition, in this paper, we propose to decompose segmentation into two sub-problems: (i) image-level or video-level multi-label classification and (ii) pixel-level rank-adaptive selected-label classification. |
Haodi He; Yuhui Yuan; Xiangyu Yue; Han Hu; | eccv | 2022-10-19 |
| 1338 | Dual Contrastive Learning with Anatomical Auxiliary Supervision for Few-Shot Medical Image Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we present a few-shot segmentation model that employs anatomical auxiliary information from medical images without target classes for dual contrastive learning. |
Huisi Wu; Fangyan Xiao; Chongxin Liang; | eccv | 2022-10-19 |
| 1339 | 3D Compositional Zero-Shot Learning with DeCompositional Consensus IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: As a solution, we propose DeCompositional Consensus, which combines a part segmentation network with a part scoring network. |
Muhammad Ferjad Naeem; rnek Evin P?nar Ö Yongqin Xian; Luc Van Gool; Federico Tombari; | eccv | 2022-10-19 |
| 1340 | GitNet: Geometric Prior-Based Transformation for Birds-Eye-View Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a novel two-stage Geometry PrIor-based Transformation framework named GitNet, consisting of (i) the geometry-guided pre-alignment and (ii) ray-based transformer. |
SHI GONG et. al. | eccv | 2022-10-19 |
| 1341 | GAN Inversion with Semantic Segmentation Map for Image Editing Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper, we propose a framework to perform Generative Adversarial Network (GAN) inversion using semantic segmentation map to invert input image into the GAN latent space. … |
Changyeop Shin; Y. S. Heo; | 2022 13th International Conference on Information and … | 2022-10-19 |
| 1342 | SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose an effective and efficient segmentation attack method, dubbed SegPGD. |
Jindong Gu; Hengshuang Zhao; Volker Tresp; Philip H. S. Torr; | eccv | 2022-10-19 |
| 1343 | Language-Grounded Indoor 3D Semantic Segmentation in The Wild IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: This large number of class categories also induces a large natural class imbalance, both of which are challenging for existing 3D semantic segmentation methods. To learn more robust 3D features in this context, we propose a language-driven pre-training method to encourage learned 3D features that might have limited training examples to lie close to their pre-trained text embeddings. |
vid Rozenberszki Dá Or Litany; Angela Dai; | eccv | 2022-10-19 |
| 1344 | Waymo Open Dataset: Panoramic Video Panoptic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We therefore present the Waymo Open Dataset: Panoramic Video Panoptic Segmentation dataset, a large-scale dataset that offers high-quality panoptic segmentation labels for autonomous driving. |
JIERU MEI et. al. | eccv | 2022-10-19 |
| 1345 | Weakly Supervised 3D Scene Segmentation with Region-Level Boundary Awareness and Instance Discrimination IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The paper introduces an effective approach to tackle the 3D scene understanding problem when labeled scenes are limited. |
Kangcheng Liu; Yuzhi Zhao; Qiang Nie; Zhi Gao; Ben M. Chen; | eccv | 2022-10-19 |
| 1346 | Generalizable Medical Image Segmentation Via Random Amplitude Mixup and Domain-Specific Image Restoration IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To this end, we present a novel generalizable medical image segmentation method. |
Ziqi Zhou; Lei Qi; Yinghuan Shi; | eccv | 2022-10-19 |
| 1347 | Object Discovery and Representation Networks Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, by introducing hand-crafted image segmentations to define regions of interest, or specialized augmentation strategies, these methods sacrifice the simplicity and generality that makes SSL so powerful. Instead, we propose a self-supervised learning paradigm that discovers this image structure by itself. |
NAFF OLIVIER J. H&EACUTE et. al. | eccv | 2022-10-19 |
| 1348 | Robust Visual Tracking By Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose a segmentation-centric tracking pipeline that not only produces a highly accurate segmentation mask, but also internally works with segmentation masks instead of bounding boxes. |
Matthieu Paul; Martin Danelljan; Christoph Mayer; Luc Van Gool; | eccv | 2022-10-19 |
| 1349 | A Dense Material Segmentation Dataset for Indoor and Outdoor Scene Parsing IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: A key algorithm for understanding the world is material segmentation, which assigns a label (metal, glass, etc.) to each pixel. We find that a model trained on existing data underperforms in some settings and propose to address this with a large-scale dataset of 3.2 million dense segments on 44,560 indoor and outdoor images, which is 23x more segments than existing data. |
Paul Upchurch; Ransen Niu; | eccv | 2022-10-19 |
| 1350 | 3D Occluded Object Visualization By Using Integral Imaging and Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper, we propose the improved occluded object visualization method by using integral imaging and semantic segmentation. Integral imaging is the passive 3D visualization … |
KAZUAKI HONDA et. al. | 2022 13th International Conference on Information and … | 2022-10-19 |
| 1351 | TO-Scene: A Large-Scale Dataset for Understanding 3D Tabletop Scenes Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Unfortunately, it is hard to meet this demand by directly deploying data-driven algorithms, since 3D tabletop scenes are rarely available in current datasets. To remedy this defect, we introduce TO-Scene, a large-scale dataset focusing on tabletop scenes, which contains 20,740 scenes with three variants. |
Mutian Xu; Pei Chen; Haolin Liu; Xiaoguang Han; | eccv | 2022-10-19 |
| 1352 | Bi-directional Contrastive Learning for Domain Adaptive Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a novel unsupervised domain adaptation method for semantic segmentation that generalizes a model trained with source images and corresponding ground-truth labels to a target domain. |
Geon Lee; Chanho Eom; Wonkyung Lee; Hyekang Park; Bumsub Ham; | eccv | 2022-10-19 |
| 1353 | Background-Insensitive Scene Text Recognition with Text Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a Background-Insensitive approach BINet by explicitly leveraging the text Semantic Segmentation (SSN) to extract texts more accurately. |
Liang Zhao; Zhenyao Wu; Xinyi Wu; Greg Wilsbacher; Song Wang; | eccv | 2022-10-19 |
| 1354 | Real-time Semantic Segmentation on Edge Devices: A Performance Comparison of Segmentation Models Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recent advances in convolutional neural networks have led to considerably accurate semantic segmentation tasks. However, previous works use a pre-trained backbone borrowed from … |
MyeongSeok Lee; Mooseop Kim; C. Jeong; | 2022 13th International Conference on Information and … | 2022-10-19 |
| 1355 | Cross-Domain Few-Shot Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we extend few-shot semantic segmentation to a new task, called Cross-Domain Few-Shot Semantic Segmentation (CD-FSS), which aims to generalize the meta-knowledge from domains with sufficient training labels to low-resource domains. |
SHUO LEI et. al. | eccv | 2022-10-19 |
| 1356 | CP2: Copy-Paste Contrastive Pretraining for Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose a pixel-wise contrastive learning method called CP2 (Copy-Paste Contrastive Pretraining), which facilitates both image- and pixel-level representation learning and therefore is more suitable for downstream dense prediction tasks. |
Feng Wang; Huiyu Wang; Chen Wei; Alan Yuille; Wei Shen; | eccv | 2022-10-19 |
| 1357 | TransFGU: A Top-down Approach to Fine-Grained Unsupervised Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In contrast, we propose the first top-down unsupervised semantic segmentation framework for fine-grained segmentation in extremely complicated scenarios. |
ZHAOYUAN YIN et. al. | eccv | 2022-10-19 |
| 1358 | Number-Adaptive Prototype Learning for 3D Point Cloud Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Instead of learning a single prototype for each class, in this paper, we propose to use an adaptive number of prototypes to dynamically describe the different point patterns within a semantic class. |
YANGHENG ZHAO et. al. | arxiv-cs.CV | 2022-10-18 |
| 1359 | Intra-Source Style Augmentation for Improved Domain Generalization IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: The generalization with respect to domain shifts, as they frequently appear in applications such as autonomous driving, is one of the remaining big challenges for deep learning models. Therefore, we propose an intra-source style augmentation (ISSA) method to improve domain generalization in semantic segmentation. |
Yumeng Li; Dan Zhang; Margret Keuper; Anna Khoreva; | arxiv-cs.CV | 2022-10-18 |
| 1360 | Real-Time Multi-Modal Semantic Fusion on Unmanned Aerial Vehicles with Label Propagation for Cross-Domain Adaptation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Here, we propose a UAV system for real-time semantic inference and fusion of multiple sensor modalities. |
Simon Bultmann; Jan Quenzel; Sven Behnke; | arxiv-cs.CV | 2022-10-18 |
| 1361 | A Survey on Medical Image Segmentation Based on Deep Learning Techniques IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep learning techniques have rapidly become important as a preferred method for evaluating medical image segmentation. This survey analyses different contributions in the deep … |
Jayashree Moorthy; U. Gandhi; | Big Data Cogn. Comput. | 2022-10-17 |
| 1362 | Heterogeneous Feature Distillation Network for SAR Image Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, SAR images are generally more difficult to be segmented than their EO (Electro-Optical) counterparts, since speckle noises and layovers are inevitably involved in SAR images. To address this problem, we investigate how to introduce EO features to assist the training of a SAR-segmentation model, and propose a heterogeneous feature distillation network for segmenting SAR images, called HFD-Net, where a SAR-segmentation student model gains knowledge from a pre-trained EO-segmentation teacher model. |
Gao Mengyu; Dong Qiulei; | arxiv-cs.CV | 2022-10-17 |
| 1363 | EISeg: An Efficient Interactive Segmentation Tool Based on PaddlePaddle IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we introduce EISeg, an Efficient Interactive SEGmentation annotation tool that can drastically improve image segmentation annotation efficiency, generating highly accurate segmentation masks with only a few clicks. |
YUYING HAO et. al. | arxiv-cs.CV | 2022-10-17 |
| 1364 | Depth Is All You Need: Single-Stage Weakly Supervised Semantic Segmentation From Image-Level Supervision Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The costly process of obtaining semantic segmentation labels has driven research towards to weakly supervised semantic segmentation (WSSS) methods, with only image-level labels … |
Mustafa Ergul; Aydin Alatan; | 2022 IEEE International Conference on Image Processing … | 2022-10-16 |
| 1365 | Prototype Queue Learning for Multi-Class Few-Shot Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Few-shot semantic segmentation aims to undertake the segmentation task of novel classes with only a few annotated images. However, most existing methods tend to segment the … |
Zichao Wang; Zhiyu Jiang; Yuan Yuan; | 2022 IEEE International Conference on Image Processing … | 2022-10-16 |
| 1366 | Fast Semantic Image Segmentation for Autonomous Systems Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Fast semantic image segmentation is crucial for autonomous systems, as it allows an autonomous system (e.g., self-driving car, drone, etc.) to interpret its environment on-the-fly … |
Christos Papaioannidis; Ioannis Mademlis; I. Pitas; | 2022 IEEE International Conference on Image Processing … | 2022-10-16 |
| 1367 | Maskformer with Improved Encoder-Decoder Module for Semantic Segmentation of Fine-Resolution Remote Sensing Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In 2021, the Transformer based models have demonstrated extraordinary achievement in the field of computer vision. Among which, Maskformer, a Transformer based model adopting the … |
Zhuoxuan Li; Junli Yang; Bin Wang; Yaqi Li; Ting Pan; | 2022 IEEE International Conference on Image Processing … | 2022-10-16 |
| 1368 | Computationally-Efficient Vision Transformer for Medical Image Semantic Segmentation Via Dual Pseudo-Label Supervision IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Ubiquitous accumulation of large volumes of data, and increased availability of annotated medical data in particular, has made it possible to show the many and varied benefits of … |
Ziyang Wang; Nanqing Dong; I. Voiculescu; | 2022 IEEE International Conference on Image Processing … | 2022-10-16 |
| 1369 | Semantic Segmentation with Active Semi-Supervised Representation Learning Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Here, we endeavor to overcome this problem with a novel algorithm that combines semi-supervised and active learning, resulting in the ability to train an effective semantic segmentation algorithm with significantly lesser labeled data. To do this, we extend the prior state-of-the-art S4AL algorithm by replacing its mean teacher approach for semi-supervised learning with a self-training approach that improves learning with noisy labels. |
Aneesh Rangnekar; Christopher Kanan; Matthew Hoffman; | arxiv-cs.CV | 2022-10-15 |
| 1370 | Multi-Feature Aggregation for Semantic Segmentation of An Urban Scene Point Cloud IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the rapid development of cities, semantic segmentation of urban scenes, as an important and effective imaging method, can accurately obtain the distribution information of … |
Jiaqing Chen; Yindi Zhao; Congtang Meng; Yang Liu; | Remote. Sens. | 2022-10-14 |
| 1371 | MonoDVPS: A Self-Supervised Monocular Depth Estimation Approach to Depth-aware Video Panoptic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose a novel solution with a multi-task network that performs monocular depth estimation and video panoptic segmentation. |
Andra Petrovai; Sergiu Nedevschi; | arxiv-cs.CV | 2022-10-14 |
| 1372 | Unsupervised Dense Nuclei Detection and Segmentation with Prior Self-activation Map For Histology Images Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To this end, we propose a self-supervised learning based approach with a Prior Self-activation Module (PSM) that generates self-activation maps from the input images to avoid labeling costs and further produce pseudo masks for the downstream task. |
PINGYI CHEN et. al. | arxiv-cs.CV | 2022-10-14 |
| 1373 | Synthetic-to-real Composite Semantic Segmentation in Additive Manufacturing Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This work demonstrates the possibilities of using physics-based rendering for labeled image dataset generation, as well as image-to-image translation capabilities to improve the accuracy of real image segmentation for AM systems. |
Aliaksei Petsiuk; Harnoor Singh; Himanshu Dadhwal; Joshua M. Pearce; | arxiv-cs.CV | 2022-10-13 |
| 1374 | Hierarchical Instance Mixing Across Domains in Aerial Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We investigate the task of unsupervised domain adaptation in aerial semantic segmentation and discover that the current state-of-the-art algorithms designed for autonomous driving based on domain mixing do not translate well to the aerial setting. This is due to two factors: (i) a large disparity in the extension of the semantic categories, which causes a domain imbalance in the mixed image, and (ii) a weaker structural consistency in aerial scenes than in driving scenes since the same scene might be viewed from different perspectives and there is no well-defined and repeatable structure of the semantic elements in the images. |
Edoardo Arnaudo; Antonio Tavera; Fabrizio Dominici; Carlo Masone; Barbara Caputo; | arxiv-cs.CV | 2022-10-12 |
| 1375 | Image Segmentation Semantic Communication Over Internet of Vehicles IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, the problem of semantic-based efficient image transmission is studied over the Internet of Vehicles (IoV). |
QIANG PAN et. al. | arxiv-cs.NI | 2022-10-11 |
| 1376 | Hypergraph Convolutional Networks for Weakly-Supervised Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, these models require a lot of densely annotated images. To address this problem, we propose a new algorithm that uses HyperGraph Convolutional Networks for Weakly-supervised Semantic Segmentation (HyperGCN-WSS). |
Jhony H. Giraldo; Vincenzo Scarrica; Antonino Staiano; Francesco Camastra; Thierry Bouwmans; | arxiv-cs.CV | 2022-10-11 |
| 1377 | TriangleNet: Edge Prior Augmented Network for Semantic Segmentation Through Cross-Task Consistency Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, implicit cross-task consistency learning in multi-task networks is limited. To address this, we propose a novel decoupled cross-task consistency loss that explicitly enhances cross-task consistency. |
Dan Zhang; Rui Zheng; Luosang Gadeng; Pei Yang; | arxiv-cs.CV | 2022-10-11 |
| 1378 | CLIP-Fields: Weakly Supervised Semantic Fields for Robotic Memory IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose CLIP-Fields, an implicit scene model that can be used for a variety of tasks, such as segmentation, instance identification, semantic search over space, and view localization. |
Nur Muhammad Mahi Shafiullah; Chris Paxton; Lerrel Pinto; Soumith Chintala; Arthur Szlam; | arxiv-cs.RO | 2022-10-11 |
| 1379 | Point Cloud Scene Completion with Joint Color and Semantic Estimation from Single RGB-D Image Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a deep reinforcement learning method of progressive view inpainting for colored semantic point cloud scene completion under volume guidance, achieving high-quality scene reconstruction from only a single RGB-D image with severe occlusion. |
ZHAOXUAN ZHANG et. al. | arxiv-cs.CV | 2022-10-11 |
| 1380 | LACV-Net: Semantic Segmentation of Large-Scale Point Cloud Scene Via Local Adaptive and Comprehensive VLAD Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To capture local and global information effectively, we propose an end-to-end deep neural network called LACV-Net for large-scale point cloud semantic segmentation. |
ZIYIN ZENG et. al. | arxiv-cs.CV | 2022-10-11 |
| 1381 | Semi-supervised Semantic Segmentation Via Prototypical Contrastive Learning IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The key idea of semi-supervised semantic segmentation is to leverage both labeled and unlabeled data. To achieve the goal, most existing methods resort to pseudo-labels for … |
Zenggui Chen; Z. Lian; | Proceedings of the 30th ACM International Conference on … | 2022-10-10 |
| 1382 | Consistency Learning Based on Class-Aware Style Variation for Domain Generalizable Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Domain generalizable (DG) semantic segmentation, i.e., a semantic segmentation model pretrained from a source domain performs well in previously unseen target domains without any … |
Siwei Su; Haijian Wang; Meng Yang; | Proceedings of the 30th ACM International Conference on … | 2022-10-10 |
| 1383 | Boat in The Sky: Background Decoupling and Object-aware Pooling for Weakly Supervised Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Previous image-level weakly-supervised semantic segmentation methods based on Class Activation Map (CAM) have two limitations: 1) focusing on partial discriminative foreground … |
JIANJUN XU et. al. | Proceedings of the 30th ACM International Conference on … | 2022-10-10 |
| 1384 | PixelSeg: Pixel-by-Pixel Stochastic Semantic Segmentation for Ambiguous Medical Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation tasks often have multiple output hypotheses for a single input image. Particularly in medical images, these ambiguities arise from unclear object boundaries … |
Wei Zhang; Xiaohong Zhang; Sheng Huang; Yuting Lu; Kun Wang; | Proceedings of the 30th ACM International Conference on … | 2022-10-10 |
| 1385 | SGINet: Toward Sufficient Interaction Between Single Image Deraining and Semantic Segmentation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Data-driven single image deraining (SID) models have achieved greater progress by simulations, but there is still a large gap between current deraining performance and practical … |
YANYAN WEI et. al. | Proceedings of the 30th ACM International Conference on … | 2022-10-10 |
| 1386 | A Semantic-Guided LiDAR-Vision Fusion Approach for Moving Objects Segmentation and State Estimation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Moving Objects Segmentation (MOS) is critical and indispensable for secure intelligent vehicle operation in the dynamic environment. For the state estimation task which is based … |
Song-Ming Chen; Haixin Sun; V. Fremont; | 2022 IEEE 25th International Conference on Intelligent … | 2022-10-08 |
| 1387 | A Real-time Semantic Segmentation Method for Autonomous Driving in Surface Mine Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation for perception of autonomous vehicles has made great progress with the development of deep learning technique. However, existing related studies mainly focus … |
Qinggong Wei; Ruiqi Song; Xue Yang; Yunfeng Ai; | 2022 IEEE 25th International Conference on Intelligent … | 2022-10-08 |
| 1388 | Mask3D: Mask Transformer for 3D Semantic Instance Segmentation IF:4 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Building on the successes of recent Transformer-based methods for object detection and image segmentation, we propose the first Transformer-based approach for 3D semantic instance segmentation. |
JONAS SCHULT et. al. | arxiv-cs.CV | 2022-10-06 |
| 1389 | A Learning-based Framework for Topology-Preserving Segmentation Using Quasiconformal Mappings Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose the Topology-Preserving Segmentation Network, a deformation-based model that can extract objects in an image while maintaining their topological properties. |
Han Zhang; Lok Ming Lui; | arxiv-cs.CV | 2022-10-06 |
| 1390 | WUDA: Unsupervised Domain Adaptation Based on Weak Source Domain Labels Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: For scenarios where weak supervision and cross-domain problems coexist, this paper defines a new task: unsupervised domain adaptation based on weak source domain labels (WUDA). To explore solutions for this task, this paper proposes two intuitive frameworks: 1) Perform weakly supervised semantic segmentation in the source domain, and then implement unsupervised domain adaptation; 2) Train an object detection model using source domain data, then detect objects in the target domain and implement weakly supervised semantic segmentation. |
Shengjie Liu; Chuang Zhu; Wenqi Tang; | arxiv-cs.CV | 2022-10-05 |
| 1391 | Self-supervised Pre-training for Semantic Segmentation in An Indoor Scene Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose RegConsist, a method for self-supervised pre-training of a semantic segmentation model, exploiting the ability of the agent to move and register multiple views in the novel environment. |
Sulabh Shrestha; Yimeng Li; Jana Kosecka; | arxiv-cs.CV | 2022-10-04 |
| 1392 | FreDSNet: Joint Monocular Depth and Semantic Segmentation with Fast Fourier Convolutions from Single Panoramas IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this work we present FreDSNet, a deep learning solution which obtains semantic 3D understanding of indoor environments from single panoramas. Omnidirectional images reveal … |
Bruno Berenguel-Baeta; J. Bermudez-Cameo; J. J. Guerrero; | 2023 IEEE International Conference on Robotics and … | 2022-10-04 |
| 1393 | FreDSNet: Joint Monocular Depth and Semantic Segmentation with Fast Fourier Convolutions Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work we present FreDSNet, a deep learning solution which obtains semantic 3D understanding of indoor environments from single panoramas. |
Bruno Berenguel-Baeta; Jesus Bermudez-Cameo; Jose J. Guerrero; | arxiv-cs.CV | 2022-10-04 |
| 1394 | NAS-based Recursive Stage Partial Network (RSPNet) for Light-Weight Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we proposed a two-stage framework to design our NAS-based RSPNet model for light-weight semantic segmentation. |
Yi-Chun Wang; Jun-Wei Hsieh; Ming-Ching Chang; | arxiv-cs.CV | 2022-10-02 |
| 1395 | Medical Image Segmentation Using Deep Semantic-based Methods: A Review of Techniques, Applications and Emerging Trends IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
IMRAN QURESHI et. al. | Inf. Fusion | 2022-10-01 |
| 1396 | Semantic Images Segmentation for Autonomous Driving Using Self-Attention Knowledge Distillation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this paper, we exploit the principle of Knowledge distillation to reduce the computational complexity of neural networks for a suitable embedding in self-driving cars. A new … |
Ayoub Karine; T. Napoléon; M. Jridi; | 2022 16th International Conference on Signal-Image … | 2022-10-01 |
| 1397 | Swin-T-NFC CRFs: An Encoder-decoder Neural Model for High-precision UAV Positioning Via Point Cloud Super Resolution and Image Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View |
SUHONG WANG et. al. | Comput. Commun. | 2022-10-01 |
| 1398 | Compensating for Local Ambiguity With Encoder-Decoder in Urban Scene Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation plays a critical role in scene understanding for self-driving vehicles. A line of efforts has proven that global context matters in urban scene segmentation … |
QUAN TANG et. al. | IEEE Transactions on Intelligent Transportation Systems | 2022-10-01 |
| 1399 | Learning Hierarchical Image Segmentation For Recognition and By Recognition Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose to integrate a hierarchical segmenter into the recognition process, train and adapt the entire model solely on image-level recognition objectives. |
Tsung-Wei Ke; Sangwoo Mo; Stella X. Yu; | arxiv-cs.CV | 2022-10-01 |
| 1400 | A Deep Learning Based Framework for Remote Sensing Image Ground Object Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View |
Xingjun Dong; Changsheng Zhang; Lei Fang; Yuxiao Yan; | Appl. Soft Comput. | 2022-10-01 |
| 1401 | Research on Ground Object Classification Method of High Resolution Remote-Sensing Images Based on Improved DeeplabV3+ IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Ground-object classification using remote-sensing images of high resolution is widely used in land planning, ecological monitoring, and resource protection. Traditional image … |
JUNJIE FU et. al. | Sensors (Basel, Switzerland) | 2022-10-01 |
| 1402 | Remote Sensing Scene Graph and Knowledge Graph Matching with Parallel Walking Algorithm Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In deep neural network model training and prediction, due to the limitation of GPU memory and computing resources, massive image data must be cropped into limited-sized samples. … |
WEIWEN CUI et. al. | Remote. Sens. | 2022-09-29 |
| 1403 | An Adversarial Attack Method Against Specified Objects Based on Instance Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The deep model is widely used and has been demonstrated to have more hidden security risks. An adversarial attack can bypass the traditional means of defense. By modifying the … |
Dapeng Lang; Deyun Chen; Sizhao Li; Yongjun He; | Inf. | 2022-09-29 |
| 1404 | FreeSeg: Free Mask from Interpretable Contrastive Language-Image Pretraining for Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we use natural language as supervision without any pixel-level annotation for open world segmentation. |
Yi Li; Huifeng Yao; Hualiang Wang; Xiaomeng Li; | arxiv-cs.CV | 2022-09-27 |
| 1405 | Deep Learning Based Semantic Image Segmentation Methods for Classification of Web Page Imagery Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation is the task of clustering together parts of an image that belong to the same object class. Semantic segmentation of webpages is important for inferring … |
Ramya Krishna Manugunta; R. Maskeliūnas; R. Damaševičius; | Future Internet | 2022-09-27 |
| 1406 | PCB-RandNet: Rethinking Random Sampling for LIDAR Semantic Segmentation in Autonomous Driving Scene Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: However, our quantative and qualitative studies have found that Random Sampling may be less suitable for the autonomous driving scenario, since the LiDAR points follow an uneven or even long-tailed distribution across the space, which prevents the model from capturing sufficient information from points in different distance ranges and reduces the model’s learning capability. To alleviate this problem, we propose a new Polar Cylinder Balanced Random Sampling method that enables the downsampled point clouds to maintain a more balanced distribution and improve the segmentation performance under different spatial distributions. |
XianFeng Han; Huixian Cheng; Hang Jiang; Dehong He; Guoqiang Xiao; | arxiv-cs.CV | 2022-09-27 |
| 1407 | SFSM: Sensitive Feature Selection Module for Image Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View |
Yan Gao; Xiangjiu Che; Quanle Liu; Mei Bie; Huan-Yu Xu; | Multimedia Tools and Applications | 2022-09-26 |
| 1408 | ERASE-Net: Efficient Segmentation Networks for Automotive Radar Signals Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we introduce ERASE-Net, an Efficient RAdar SEgmentation Network to segment the raw radar signals semantically. |
SHIHONG FANG et. al. | arxiv-cs.RO | 2022-09-26 |
| 1409 | Artificial Intelligence‐Assisted Repair System for Structural and Electrical Restoration Using 3D Printing Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The characteristic of material accumulation makes 3D printing competitive in remanufacturing and repairing. However, conventional repair methods require additional equipment and … |
Yan Zhang; J. Qiao; G. Zhang; Huichun Tian; Longqiu Li; | Advanced Intelligent Systems | 2022-09-25 |
| 1410 | Lightweight and Efficient Convolutional Neural Network for Road Scene Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Recently, Intelligent Transportation Systems (ITS) have become one of the most important fields of research topics, while it provides advanced road scene monitoring. Actually, … |
Amine Kherraki; Muaz Maqbool; Rajae El Ouazzani; | 2022 IEEE 18th International Conference on Intelligent … | 2022-09-22 |
| 1411 | SF2SE3: Clustering Scene Flow Into SE(3)-Motions Via Proposal and Selection Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: We propose SF2SE3, a novel approach to estimate scene dynamics in form of a segmentation into independently moving rigid objects and their SE(3)-motions. |
Leonhard Sommer; Philipp Schröppel; Thomas Brox; | arxiv-cs.CV | 2022-09-18 |
| 1412 | Continual Learning for Class- and Domain-Incremental Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: At the same time while unsupervised domain adaption for semantic segmentation gained a lot of traction, investigations regarding domain-incremental learning in an continual setting is not well-studied. Therefore, the goal of our work is to evaluate and adapt established solutions for continual object recognition to the task of semantic segmentation and to provide baseline methods and evaluation protocols for the task of continual semantic segmentation. |
Tobias Kalb; Masoud Roschani; Miriam Ruf; Jürgen Beyerer; | arxiv-cs.CV | 2022-09-16 |
| 1413 | Active Self-Training for Weakly Supervised 3D Scene Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Thus, we introduce a method for weakly supervised segmentation of 3D scenes that combines self-training with active learning. |
Gengxin Liu; Oliver van Kaick; Hui Huang; Ruizhen Hu; | arxiv-cs.CV | 2022-09-15 |
| 1414 | Semantic-SRF: Sparse Multi-view Indoor Semantic Segmentation with Stereo Neural Radiance Fields Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: We study the effect of prior training of neural implicit networks on the task of semantic segmentation of room-scale scenes. For this, we train Stereo Radiance Field (SRF) on … |
Cem Eteke; Jinpeng Zhang; E. Steinbach; | 2022 10th European Workshop on Visual Information … | 2022-09-11 |
| 1415 | MCIBI++: Soft Mining Contextual Information Beyond Image for Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: To this end, we propose a novel soft mining contextual information beyond image paradigm named MCIBI++ to further boost the pixel-level representations. |
Zhenchao Jin; Dongdong Yu; Zehuan Yuan; Lequan Yu; | arxiv-cs.CV | 2022-09-09 |
| 1416 | A Multitask Deep Learning Model for Parsing Bridge Elements and Segmenting Defect in Bridge Inspection Images Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Both recognizable structural elements and apparent surface defects are present in the inspection images. This paper is motivated to develop a multitask deep learning model that fully utilizes such interdependence between bridge elements and defects to boost the model’s task performance and generalization. |
Chenyu Zhang; Muhammad Monjurul Karim; Ruwen Qin; | arxiv-cs.CV | 2022-09-05 |
| 1417 | Semantic Segmentation in Learned Compressed Domain Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a method based on the compressed domain to improve segmentation tasks. |
Jinming Liu; Heming Sun; Jiro Katto; | arxiv-cs.CV | 2022-09-03 |
| 1418 | Image Captioning Using Pretrained Language Models and Image Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Large-scale pre-trained language models, which have learned cross-modal representations on image-text pairs, are becoming popular for vision-language tasks because the fine-tuning … |
S. Bianco; Gabriele Ferrario; Paolo Napoletano; | 2022 IEEE 12th International Conference on Consumer … | 2022-09-02 |
| 1419 | Distilling Facial Knowledge With Teacher-Tasks: Semantic-Segmentation-Features For Pose-Invariant Face-Recognition Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper demonstrates a novel approach to improve face-recognition pose-invariance using semantic-segmentation features. |
Ali Hassani; Zaid El Shair; Rafi Ud Duala Refat; Hafiz Malik; | arxiv-cs.CV | 2022-09-02 |
| 1420 | Weather-degraded Image Semantic Segmentation with Multi-task Knowledge Distillation Related Papers Related Patents Related Grants Related Venues Related Experts View |
Zhi Li; Xing Wu; Jianjia Wang; Yike Guo; | Image Vis. Comput. | 2022-09-01 |
| 1421 | UAVformer: A Composite Transformer Network for Urban Scene Segmentation of UAV Images IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
Shi Yi; Xi Liu; Junjie Li; Ling Chen; | Pattern Recognit. | 2022-09-01 |
| 1422 | Edge-aware and Spectral-spatial Information Aggregation Network for Multispectral Image Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
DI ZHANG et. al. | Eng. Appl. Artif. Intell. | 2022-09-01 |
| 1423 | End-to-End Real-Time Obstacle Detection Network for Safe Self-Driving Via Multi-Task Learning IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation and depth estimation lie at the heart of scene understanding and play crucial roles especially for autonomous driving. In particular, it is desirable for an … |
Taek-jin Song; Jong-Lyul Jeong; Jong-Hwan Kim; | IEEE Transactions on Intelligent Transportation Systems | 2022-09-01 |
| 1424 | SemSegDepth: A Combined Model for Semantic Segmentation and Depth Completion Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper we propose a new end-to-end model for performing semantic segmentation and depth completion jointly. |
Juan Pablo Lagos; Esa Rahtu; | arxiv-cs.CV | 2022-09-01 |
| 1425 | Cross-Level Semantic Segmentation Guided Feature Space Decoupling And Augmentation for Fine-Grained Ship Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Fine-grained ship detection in optical remote sensing images is a challenging problem due to its long-tailed distributed dataset, which is often coupled with the multi-scale of … |
ZHENGNING ZHANG et. al. | 2022 30th European Signal Processing Conference (EUSIPCO) | 2022-08-29 |
| 1426 | An Access Control Method with Secret Key for Semantic Segmentation Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: A novel method for access control with a secret key is proposed to protect models from unauthorized access in this paper. |
Teru Nagamori; Ryota Iijima; Hitoshi Kiya; | arxiv-cs.CV | 2022-08-28 |
| 1427 | Real-Time Weed Control Application Using A Jetson Nano Edge Device and A Spray Mechanism IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Portable devices play an essential role where edge computing is necessary and mobility is required (e.g., robots in agriculture within remote-sensing applications). With the … |
E. ASSUNÇÃO et. al. | Remote. Sens. | 2022-08-26 |
| 1428 | Context Prior Guided Semantic Modeling for Biomedical Image Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Most state-of-the-art deep networks proposed for biomedical image segmentation are developed based on U-Net. While remarkable success has been achieved, its inherent limitations … |
Huisi Wu; Zhaoze Wang; Zhuoying Li; Zhenkun Wen; Jing Qin; | ACM Transactions on Multimedia Computing, Communications … | 2022-08-25 |
| 1429 | A Geometry-aware Attention Network for Semantic Segmentation of MLS Point Clouds Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation of mobile laser scanning (MLS) point clouds can provide meaningful 3 D semantic information of urban facilities for various applications. However, it still … |
Jie Wan; Yongyang Xu; Qinjun Qiu; Zhong Xie; | International Journal of Geographical Information Science | 2022-08-24 |
| 1430 | Refine and Represent: Region-to-Object Representation Learning Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present Region-to-Object Representation Learning (R2O) which unifies region-based and object-centric pretraining. |
AKASH GOKUL et. al. | arxiv-cs.CV | 2022-08-24 |
| 1431 | Remote Sensing Image Segmentation of Ground Objects Based on Improved Deeplabv3+ Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Aiming at the problem of unsatisfactory extraction effect caused by unbalanced category distribution and large differences in scene styles in different domains in the process of … |
Min Wang; Haibo Du; Shuiqing Xu; G. Surname; | 2022 IEEE International Conference on Industrial Technology … | 2022-08-22 |
| 1432 | Threshold-adaptive Unsupervised Focal Loss for Domain Adaptation of Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a novel two-stage entropy-based UDA method for semantic segmentation. |
Weihao Yan; Yeqiang Qian; Chunxiang Wang; Ming Yang; | arxiv-cs.CV | 2022-08-22 |
| 1433 | Virtual Reality Image Dataset VCAT Helps Research on Semantic Segmentation Algorithms Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: It is difficult to create sample datasets for semantic identification for animals with quick behavior traits, such as cats, and the cost of dataset gathering is greatly increased … |
Wenjie Li; Wenchuan Jia; Yunxin Fan; Shugen Ma; | 2022 IEEE International Conference on Industrial Technology … | 2022-08-22 |
| 1434 | IoT Enabled Deep Learning Based Framework for Multiple Object Detection in Remote Sensing Images IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Advanced collaborative and communication technologies play a significant role in intelligent services and applications, including artificial intelligence, Internet of Things … |
Imran Ahmed; Misbah Ahmad; A. Chehri; M. Hassan; Gwanggil Jeon; | Remote. Sens. | 2022-08-22 |
| 1435 | Dual Attention Based Multi-scale Feature Fusion Network for Indoor RGBD Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: RGBD semantic segmentation combined with color image information and depth information can effectively alleviate the problems of low classification accuracy and difficulty in … |
Zhongwei Hua; Lizhe Qi; Daming Du; Wenxuan Jiang; Yunquan Sun; | 2022 26th International Conference on Pattern Recognition … | 2022-08-21 |
| 1436 | SE3: Sequential Semantic Segmentation of Large Images with Minimized Memory Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation results in pixel-wise perception accompanied with GPU computation and expensive memory, which makes trained models hard to apply to small devices in testing. … |
Guo Cheng; J. Zheng; | 2022 26th International Conference on Pattern Recognition … | 2022-08-21 |
| 1437 | Semi-supervised Dual-Domain Adaptation for Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep learning approaches for semantic segmentation rely primarily on supervised learning approaches and require substantial efforts in producing pixel-level annotations. Further, … |
Ying Chen; Ouyang Xu; Kaiyue Zhu; G. Agam; | 2022 26th International Conference on Pattern Recognition … | 2022-08-21 |
| 1438 | Automatic Teeth Segmentation on Panoramic X-rays Using Deep Neural Networks Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In order to build an intelligent dental care process that both facilitates the treatment and improves the diagnosis, an accurate tooth segmentation and recognition on panoramic … |
Rafic Nader; A. Smorodin; Natalia De La Fournière; Y. Amouriq; F. Autrusseau; | 2022 26th International Conference on Pattern Recognition … | 2022-08-21 |
| 1439 | RFNet: A Refinement Network for Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: As one of the basic tasks of computer vision, semantic segmentation is widely used in many fields, e.g., medical images parsing, scene parsing, autonomous driving, etc. In the … |
GUILIN ZHU et. al. | 2022 26th International Conference on Pattern Recognition … | 2022-08-21 |
| 1440 | EAA-Net: Rethinking The Autoencoder Architecture with Intra-class Features for Medical Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a light-weight end-to-end segmentation framework based on multi-task learning, termed Edge Attention autoencoder Network (EAA-Net), to improve edge segmentation ability. |
Shiqiang Ma; Xuejian Li; Jijun Tang; Fei Guo; | arxiv-cs.CV | 2022-08-19 |
| 1441 | Semi-supervised Domain Adaptation with CycleGAN Guided By A Downstream Task Loss Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The main contributions of this work are 1) a modular semi-supervised domain adaptation method for semantic segmentation by training a downstream task aware CycleGAN while refraining from adapting the synthetic semantic segmentation expert 2) the demonstration that the method is applicable to complex domain adaptation tasks and 3) a less biased domain gap analysis by using from scratch networks. |
Annika Mütze; Matthias Rottmann; Hanno Gottschalk; | arxiv-cs.CV | 2022-08-18 |
| 1442 | Surrogate-assisted Multi-objective Neural Architecture Search for Real-time Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: The main challenges of applying NAS to semantic segmentation arise from two aspects: (i) high-resolution images to be processed; (ii) additional requirement of real-time inference speed (i.e., real-time semantic segmentation) for applications such as autonomous driving. To meet such challenges, we propose a surrogate-assisted multi-objective method in this paper. |
ZHICHAO LU et. al. | arxiv-cs.CV | 2022-08-14 |
| 1443 | Semantic Segmentation-assisted Instance Feature Fusion for Multi-level 3D Part Instance Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View |
C. Sun; Xin Tong; Yang Liu; | Computational Visual Media | 2022-08-09 |
| 1444 | RT‐Unet: An Advanced Network Based on Residual Network and Transformer for Medical Image Segmentation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: For the past several years, semantic segmentation method based on deep learning, especially Unet, have achieved tremendous success in medical image processing. The U‐shaped … |
BO LI et. al. | International Journal of Intelligent Systems | 2022-08-08 |
| 1445 | DGPolarNet: Dynamic Graph Convolution Network for LiDAR Point Cloud Semantic Segmentation on Polar BEV Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation in LiDAR point clouds has become an important research topic for autonomous driving systems. This paper proposes a dynamic graph convolution neural network … |
W. SONG et. al. | Remote. Sens. | 2022-08-08 |
| 1446 | Semantic Segmentation of Fruits on Multi-sensor Fused Data in Natural Orchards Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we propose a deep-learning-based segmentation method to perform accurate semantic segmentation on fused data from a LiDAR-Camera visual sensor. |
Hanwen Kang; Xing Wang; | arxiv-cs.CV | 2022-08-04 |
| 1447 | Semantic Image Segmentation for Sea Ice Parameters Recognition Using Deep Convolutional Neural Networks IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
C. Zhang; Xiaodong Chen; S. Ji; | Int. J. Appl. Earth Obs. Geoinformation | 2022-08-01 |
| 1448 | LEARD-Net: Semantic Segmentation for Large-scale Point Cloud Scene IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View |
ZIYIN ZENG et. al. | Int. J. Appl. Earth Obs. Geoinformation | 2022-08-01 |
| 1449 | Applications of Deep Learning in Object Detection Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Computer vision includes many branches, among which image classification, object detection, image segmentation, and object tracking are the most important research topics in the … |
Ke Li; | 2022 International Conference on Computers, Information … | 2022-08-01 |
| 1450 | FixMatchSeg: Fixing FixMatch for Semi-Supervised Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this work, we adapt a state-of-the-art semi-supervised classification method FixMatch to semantic segmentation task, introducing FixMatchSeg. |
Pratima Upretee; Bishesh Khanal; | arxiv-cs.CV | 2022-07-31 |
| 1451 | A Novel Weakly Supervised Remote Sensing Landslide Semantic Segmentation Method: Combining CAM and CycleGAN Algorithms IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: With the development of deep learning algorithms, more and more deep learning algorithms are being applied to remote sensing image classification, detection, and semantic … |
YONGXIU ZHOU et. al. | Remote. Sens. | 2022-07-29 |
| 1452 | Learning with Limited Annotations: A Survey on Deep Semi-Supervised Learning for Medical Image Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present a comprehensive review of recently proposed semi-supervised learning methods for medical image segmentation and summarized both the technical novelties and empirical results. |
Rushi Jiao; Yichi Zhang; Le Ding; Rong Cai; Jicong Zhang; | arxiv-cs.CV | 2022-07-28 |
| 1453 | Adaptive Sampling for Scanning Pixel Cameras Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: It can provide very detailed images at the expense of samplerates and slow image acquisition time. This paper proposes a new algorithm which allows the sensor to adapt the samplerate over the course of this sequence. |
Yusuf Duman; Jean-Yves Guillemaut; Simon Hadfield; | arxiv-cs.CV | 2022-07-27 |
| 1454 | GPS-GLASS: Learning Nighttime Semantic Segmentation Using Daytime Video and GPS Data Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose a novel GPS-based training framework for nighttime semantic segmentation. |
Hongjae Lee; Changwoo Han; Jun-Sang Yoo; Seung-Won Jung; | arxiv-cs.CV | 2022-07-27 |
| 1455 | Two-Stream UNET Networks for Semantic Segmentation in Medical Images Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Compared to image segmentation in the wild, properties of both medical images themselves and of existing medical datasets hinder training deeper and larger models because of overfitting. To this end, we propose a novel two-stream UNET architecture for automatic end-to-end medical image segmentation, in which intensity value and gradient vector flow (GVF) are two inputs for each stream, respectively. |
Xin Chen; Ke Ding; | arxiv-cs.CV | 2022-07-27 |
| 1456 | CENet: Toward Concise and Efficient LiDAR Semantic Segmentation for Autonomous Driving IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present a \textbf{concise} and \textbf{efficient} image-based semantic segmentation network, named \textbf{CENet}. |
Hui-Xian Cheng; Xian-Feng Han; Guo-Qiang Xiao; | arxiv-cs.CV | 2022-07-26 |
| 1457 | A Brief Survey on Weakly Supervised Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic Segmentation is the process of assigning a label to every pixel in the image that share same semantic properties and stays a challenging task in computer vision. In … |
Youssef Ouassit; S. Ardchir; M. Y. E. Ghoumari; M. Azouazi; | Int. J. Online Biomed. Eng. | 2022-07-26 |
| 1458 | SegPGD: An Effective and Efficient Adversarial Attack for Evaluating and Boosting Segmentation Robustness IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we propose an effective and efficient segmentation attack method, dubbed SegPGD. |
Jindong Gu; Hengshuang Zhao; Volker Tresp; Philip Torr; | arxiv-cs.CV | 2022-07-25 |
| 1459 | Behind Every Domain There Is A Shift: Adapting Distortion-aware Vision Transformers for Panoramic Semantic Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we address panoramic semantic segmentation which is under-explored due to two critical challenges: (1) image distortions and object deformations on panoramas; (2) lack of semantic annotations in the 360{\deg} imagery. |
JIAMING ZHANG et. al. | arxiv-cs.CV | 2022-07-24 |
| 1460 | An Image Segmentation Method for Banana Leaf Disease Image with Complex Background Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In view of the complexity of original banana leaf disease image collected by smart phone, an image segmentation method is proposed. It combines with the color segmentation, Ostu … |
Jianqing Huang; Qi Yuan; Debing Liu; Hailing Fu; | 2022 5th International Conference on Data Science and … | 2022-07-22 |
| 1461 | Pseudo-label Guided Cross-video Pixel Contrast for Robotic Surgical Scene Segmentation with Limited Annotations Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: To greatly reduce the labeling burden, in this work, we study semi-supervised scene segmentation from robotic surgical video, which is practically essential yet rarely explored before. |
YANG YU et. al. | arxiv-cs.CV | 2022-07-20 |
| 1462 | SeasoNet: A Seasonal Scene Classification, Segmentation and Retrieval Dataset for Satellite Imagery Over Germany Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This work presents SeasoNet, a new large-scale multi-label land cover and land use scene understanding dataset. |
Dominik Koßmann; Viktor Brack; Thorsten Wilhelm; | arxiv-cs.CV | 2022-07-19 |
| 1463 | Vision Transformers: From Semantic Segmentation to Dense Prediction Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, for the first time we explore the global context learning potentials of ViTs for dense visual prediction (e.g., semantic segmentation). |
LI ZHANG et. al. | arxiv-cs.CV | 2022-07-19 |
| 1464 | Directed Mix Contrast for Lidar Point Cloud Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Comprehensive and real-time scene understanding are crucial for autonomous driving, where LiDAR semantic segmentation plays an indispensable role. However, existing segmentation … |
Yuheng Lu; Fangping Chen; Ziwei Zhang; F. Yang; Xiaodong Xie; | 2022 IEEE International Conference on Multimedia and Expo … | 2022-07-18 |
| 1465 | Vector Symbolic Scene Representation for Semantic Place Recognition Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Most state-of-the-art methods do not explicitly use scene semantics for place recognition by the images. We address this problem and propose a new two-stage approach referred to … |
DANIIL E. KIRILENKO et. al. | 2022 International Joint Conference on Neural Networks … | 2022-07-18 |
| 1466 | Instance-Aware Observer Network for Out-of-Distribution Object Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This limitation is due to the difficulty of finegrained prediction at the pixel level. To address this issue, we build upon the recent ObsNet approach by providing object instance knowledge to the observer. |
Victor Besnier; Andrei Bursuc; David Picard; Alexandre Briot; | arxiv-cs.CV | 2022-07-18 |
| 1467 | Cross U-Net: Reconstructing Cardiac MR Image for Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: It is essential to develop a more accurate segmentation method of cardiac MR image (CMRI) because segmentation results can affect further diagnoses of heart conditions. In this … |
Hong Zheng; Lili Wang; Yucheng Chen; Xiaoning Li; | 2022 IEEE International Conference on Multimedia and Expo … | 2022-07-18 |
| 1468 | Quality Quantification in Deep Convolutional Neural Networks for Skin Lesion Segmentation Using Fuzzy Uncertainty Measurement Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Deep convolutional neural networks (DCNN)-based methods have achieved promising performance in semantic image segmentation. However, in practical applications, it is important not … |
Qiao Lin; Xin Chen; Chao Chen; J. Garibaldi; | 2022 IEEE International Conference on Fuzzy Systems … | 2022-07-18 |
| 1469 | Open-world Semantic Segmentation Via Contrasting and Clustering Vision-Language Embedding IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper, we propose a new open-world semantic segmentation pipeline that makes the first attempt to learn to segment semantic objects of various open-world categories without any efforts on dense annotations, by purely exploiting the image-caption data that naturally exist on the Internet. |
QUANDE LIU et. al. | arxiv-cs.CV | 2022-07-18 |
| 1470 | Summary of The 2022 Low-Power Deep Learning Semantic Segmentation Model Compression Competition for Traffic Scene In Asian Countries Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The 2022 low-power deep learning semantic segmentation model compression competition for traffic scene in Asian countries held in IEEE ICME2022 Grand Challenges focuses on the … |
YU-SHU NI et. al. | 2022 IEEE International Conference on Multimedia and Expo … | 2022-07-18 |
| 1471 | Scanner Neural Network for On-Board Segmentation of Satellite Images Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Traditional Convolutional Neural Networks (CNN) for semantic segmentation of images use 2D convolution operations. While the spatial inductive bias of 2D convolutions allow CNNs … |
Gaétan Bahl; Florent Lafarge; | IGARSS 2022 – 2022 IEEE International Geoscience and Remote … | 2022-07-17 |
| 1472 | Semi-Supervised Semantic Segmentation of SAR Images Based on Cross Pseudo-Supervision Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Due to the unique imaging mechanism and wide application of synthetic aperture radar (SAR), SAR image interpretation has been researched by more and more scholars. The supervised … |
HAIBO ZHANG et. al. | IGARSS 2022 – 2022 IEEE International Geoscience and Remote … | 2022-07-17 |
| 1473 | Semantic Segmentation of High-Resolution Remote Sensing Images Based on Sparse Self-Attention Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation of high-resolution optical remote sensing images is an important but challenging task. To solve the problem that many semantic segmentation networks fail to … |
LI SUN et. al. | IGARSS 2022 – 2022 IEEE International Geoscience and Remote … | 2022-07-17 |
| 1474 | Radar Semantic Segmentation Based on U-Net Using Vision Transformer Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: In this study, a semantic segmentation network for radar data is proposed. Unlike most methods that use point cloud data for radar semantic segmentation, this network deals with … |
Yan Shen; Tongrui Zhang; | 2022 IEEE International Conference on Real-time Computing … | 2022-07-17 |
| 1475 | A Prior Level Fusion Approach for The Semantic Segmentation of 3D Point Clouds Using Deep Learning IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Three-dimensional digital models play a pivotal role in city planning, monitoring, and sustainable management of smart and Digital Twin Cities (DTCs). In this context, semantic … |
Z. Ballouch; R. Hajji; Florent Poux; A. Kharroubi; R. Billen; | Remote. Sens. | 2022-07-16 |
| 1476 | GeoSegNet: Point Cloud Semantic Segmentation Via Geometric Encoder-Decoder Modeling Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we present a robust semantic segmentation network by deeply exploring the geometry of point clouds, dubbed GeoSegNet. |
CHEN CHEN et. al. | arxiv-cs.CV | 2022-07-14 |
| 1477 | Multi-Category Segmentation of Sentinel-2 Images Based on The Swin UNet Method IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Medium-resolution remote sensing satellites have provided a large amount of long time series and full coverage data for Earth surface monitoring. However, the different objects … |
Jun Yao; Shuanggen Jin; | Remote. Sens. | 2022-07-14 |
| 1478 | Automated Detection of Label Errors in Semantic Segmentation Datasets Via Deep Learning and Uncertainty Quantification IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we for the first time present a method for detecting label errors in image datasets with semantic segmentation, i.e., pixel-wise class labels. |
Matthias Rottmann; Marco Reese; | arxiv-cs.CV | 2022-07-13 |
| 1479 | Development of A Deep Wavelet Pyramid Scene Parsing Semantic Segmentation Network for Scene Perception in Indoor Environments Related Papers Related Patents Related Grants Related Venues Related Experts View |
Simge Nur Aslan; A. Uçar; C. Güzelı̇ş; | Journal of Ambient Intelligence and Humanized Computing | 2022-07-13 |
| 1480 | AMFuse: Add-Multiply-Based Cross-Modal Fusion Network for Multi-Spectral Semantic Segmentation Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Multi-spectral semantic segmentation has shown great advantages under poor illumination conditions, especially for remote scene understanding of autonomous vehicles, since the … |
Haijun Liu; Fenglei Chen; Zhihong Zeng; Xiaoheng Tan; | Remote. Sens. | 2022-07-13 |
| 1481 | Unsupervised Semantic Segmentation with Self-supervised Object-centric Representations IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we show that recent advances in self-supervised feature learning enable unsupervised object discovery and semantic segmentation with a performance that matches the state of the field on supervised semantic segmentation 10 years ago. |
Andrii Zadaianchuk; Matthaeus Kleindessner; Yi Zhu; Francesco Locatello; Thomas Brox; | arxiv-cs.CV | 2022-07-11 |
| 1482 | Self-supervised Learning with Local Contrastive Loss for Detection and Semantic Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We present a self-supervised learning (SSL) method suitable for semi-global tasks such as object detection and semantic segmentation. |
ASHRAFUL ISLAM et. al. | arxiv-cs.CV | 2022-07-10 |
| 1483 | Efficient Multi-Task RGB-D Scene Analysis for Indoor Environments IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this paper, we propose an efficient multi-task approach for RGB-D scene analysis~(EMSANet) that simultaneously performs semantic and instance segmentation~(panoptic segmentation), instance orientation estimation, and scene classification. |
Daniel Seichter; Söhnke Benedikt Fischedick; Mona Köhler; Horst-Michael Groß; | arxiv-cs.CV | 2022-07-10 |
| 1484 | Self-attention on Multi-Shifted Windows for Scene Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: One of the challenges for this learning task is to consider the spatial and semantic relationships to obtain descriptive feature representations, so learning the feature maps from multiple scales is a common practice in scene segmentation. In this paper, we explore the effective use of self-attention within multi-scale image windows to learn descriptive visual features, then propose three different strategies to aggregate these feature maps to decode the feature representation for dense prediction. |
Litao Yu; Zhibin Li; Jian Zhang; Qiang Wu; | arxiv-cs.CV | 2022-07-10 |
| 1485 | Accelerating and Pruning CNNs for Semantic Segmentation on FPGA Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Semantic segmentation is one of the popular tasks in computer vision, providing pixel-wise annotations for scene understanding. However, segmentation-based convolutional neural … |
PIERPAOLO MORÌ et. al. | Proceedings of the 59th ACM/IEEE Design Automation … | 2022-07-10 |
| 1486 | SHDM-NET: Heat Map Detail Guidance with Image Matting for Industrial Weld Semantic Segmentation Network Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In addition, although deep learning has achieved great success in the field of semantic segmentation, the precision of the segmentation boundary region is not high due to the loss of detailed information caused by the classical segmentation network in the process of encoding and decoding process. This paper introduces a matting algorithm to calibrate the boundary of the segmentation region of the semantic segmentation network to solve this problem. |
Qi Wang; Jingwu Mei; | arxiv-cs.CV | 2022-07-09 |
| 1487 | Generative Adversarial Networks and Other Generative Models Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This chapter gives a basic introduction into the motivation for Generative Adversarial Networks (GANs) and traces the path of their success by abstracting the basic task and working mechanism, and deriving the difficulty of early practical approaches. |
Markus Wenzel; | arxiv-cs.CV | 2022-07-08 |
| 1488 | False Negative Reduction in Semantic Segmentation Under Domain Shift Using Depth Estimation Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: In this work, we enhance semantic segmentation predictions using monocular depth estimation to improve segmentation by reducing the occurrence of non-detected objects in presence of domain shift. |
Kira Maag; Matthias Rottmann; | arxiv-cs.CV | 2022-07-07 |
| 1489 | Road Semantic Segmentation and Traffic Object Detection Model Based on Encoder-Decoder CNN Architecture Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Nowadays, there are lots of deep learning models being used, in the case of limited computing resources, the speed of performing object detection and semantic segmentation at the … |
Yih-Chen Wang; Chao-Wei Yu; Xiu Lu; Yen-Lin Chen; | 2022 IEEE International Conference on Consumer Electronics … | 2022-07-06 |
| 1490 | Latents2Segments: Disentangling The Latent Space of Generative Models for Semantic Segmentation of Face Images Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: Few State of the Art (SOTA) methods which solve this problem, do so by incorporating priors with respect to facial structure or other face attributes such as expression and pose in their deep classifier architecture. Our endeavour in this work is to do away with the priors and complex pre-processing operations required by SOTA multi-class face segmentation models by reframing this operation as a downstream task post infusion of disentanglement with respect to facial semantic regions of interest (ROIs) in the latent space of a Generative Autoencoder model. |
Snehal Singh Tomar; A. N. Rajagopalan; | arxiv-cs.CV | 2022-07-05 |
| 1491 | SiamMask: A Framework for Fast Online Object Tracking and Segmentation IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this paper we introduce SiamMask, a framework to perform both visual object tracking and video object segmentation, in real-time, with the same simple method. |
Weiming Hu; Qiang Wang; Li Zhang; Luca Bertinetto; Philip H. S. Torr; | arxiv-cs.CV | 2022-07-05 |
| 1492 | OS-MSL: One Stage Multimodal Sequential Link Framework for Scene Segmentation and Classification Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: However, scene segmentation concerns more on the local difference between adjacent shots while classification needs the global representation of scene segments, which probably leads to the model dominated by one of the two tasks in the training phase. In this paper, from an alternate perspective to overcome the above challenges, we unite these two tasks into one task by a new form of predicting shots link: a link connects two adjacent shots, indicating that they belong to the same scene or category. |
YE LIU et. al. | arxiv-cs.CV | 2022-07-04 |
| 1493 | A Survey on Label-efficient Deep Image Segmentation: Bridging The Gap Between Weak Supervision and Dense Prediction IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: This paper offers a comprehensive review on label-efficient image segmentation methods. |
WEI SHEN et. al. | arxiv-cs.CV | 2022-07-04 |
| 1494 | Improving Nighttime Driving-Scene Segmentation Via Dual Image-adaptive Learnable Filters IF:3 Related Papers Related Patents Related Grants Related Venues Related Experts Related Code View Highlight: Although encouraging performance has been achieved on daytime images, the performance on nighttime images are less satisfactory due to the insufficient exposure and the lack of labeled data. To address these issues, we present an add-on module called dual image-adaptive learnable filters (DIAL-Filters) to improve the semantic segmentation in nighttime driving conditions, aiming at exploiting the intrinsic features of driving-scene images under different illuminations. |
WENYU LIU et. al. | arxiv-cs.CV | 2022-07-04 |
| 1495 | Learning Indoor Point Cloud Semantic Segmentation from Image-level Labels Related Papers Related Patents Related Grants Related Venues Related Experts View |
YOUCHENG SONG et. al. | The Visual Computer | 2022-07-02 |
| 1496 | RBorderNet: Rider Border Collie Optimization-based Deep Convolutional Neural Network for Road Scene Segmentation and Road Intersection Classification Related Papers Related Patents Related Grants Related Venues Related Experts View |
Michael Mahesh K; S. Veluchamy; J. Thirumalai; P. Sureshkanna; | Digit. Signal Process. | 2022-07-01 |
| 1497 | Hybrid CNN-LSTM Architecture for LiDAR Point Clouds Semantic Segmentation IF:3 Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: The semantic segmentation of LiDAR in the outdoor environment is still an open problem in the field of automatic driving. Although the emerging development and technological … |
Shuhuan Wen; Tao Wang; Sheng Tao; | IEEE Robotics and Automation Letters | 2022-07-01 |
| 1498 | Object Detection and Estimation: A Hybrid Image Segmentation Technique Using Convolutional Neural Network Model Summary Related Papers Related Patents Related Grants Related Venues Related Experts View Abstract: Object detection from image is more challenging and integral part in the inter‐discipline area of computer vision. The computer vision is highly attractive in many applications … |
Aarthi Sundaram; C. Sakthivel; | Concurrency and Computation: Practice and Experience | 2022-07-01 |
| 1499 | Online Reflective Learning for Robust Medical Image Segmentation Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: In this study, inspired by human learning cycle, we propose a novel online reflective learning framework (RefSeg) to improve segmentation robustness. |
YUHAO HUANG et. al. | arxiv-cs.CV | 2022-07-01 |
| 1500 | Learning to Segment from Object Sizes Related Papers Related Patents Related Grants Related Venues Related Experts View Highlight: We propose an algorithm for training a deep segmentation network from a dataset of a few pixel-wise annotated images and many images with known object sizes. |
Denis Baručić; Jan Kybic; | arxiv-cs.CV | 2022-07-01 |