Semantic Segmentation

Ask about this topic

Overview

Semantic segmentation predicts a category for each pixel, supporting applications such as autonomous driving, medical imaging, and remote sensing. Common approaches include CNN and vision-transformer encoders with multi-scale decoders, while foundation models, vision-language prompts, and diffusion features are increasingly adapted for dense prediction. To reduce annotation demands, researchers use weak or sparse labels, pseudo-labeling, synthetic data, few-shot learning, and domain adaptation; RGB-D, thermal, radar, and other sensors provide complementary cues. Key challenges are reliable transfer across domains and conditions, accurate boundaries and rare classes, and balancing accuracy with calibration and inference cost.

Latest papers

CardsList

416 papers33 papers in the last four weeks, down 20% on the four weeks before. 0.2% of all new papers.

  1. Seeing Beyond: Extrapolative Domain Adaptive Panoramic Segmentation

    Mar 16, 2026Yuanfan Zheng, Kunyu Peng, Xu Zheng +1Semantic SegmentationDomain Adaptation

    Hunan University · Karlsruhe Institute of Technology · INSAIT, Sofia University “St. Kliment Ohridski” +1

  2. A Novel Framework using Intuitionistic Fuzzy Logic with U-Net and U-Net++ Architecture: A case Study of MRI Bain Image Segmentation

    Mar 15, 2026Hanuman Verma, Kiho Im, Akshansh Gupta +1Medical Image SegmentationU-Net

    Department of Mathematics, Bareilly College, Bareilly (MJP Rohilkhand University), Uttar Pradesh, 243005, India · Fetal Neonatal Neuroimaging and Developmental Science Center, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, USA · Division of Newborn Medicine, Boston Children’s Hospital, Harvard Medical School, Boston, MA 02115, USA +3

  3. Bidirectional Cross-Attention Fusion of High-Resolution RGB and Low-Resolution Hyperspectral Inputs for Multimodal Semantic Segmentation

    Mar 14, 2026Jonas V. Funk, Lukas Roming, Andreas Michel +4Multimodal Semantic SegmentationSemantic Segmentation

    KIT, Karlsruhe Institute of Technology, 76131 Karlsruhe, Germany · Fraunhofer IOSB, Fraunhofer Institute of Optronics, System Technologies and Image Exploitation, 76131 Karlsruhe, Germany

  4. Zero-Forgetting CISS via Dual-Phase Cognitive Cascades

    Mar 14, 2026Yuquan Lu, Yifu Guo, Zishan Xu +6Semantic SegmentationClass-Incremental Learning

    Sun Yat-sen University · Shanghai Jiao Tong University · Southwest University +3

  5. SAP: Segment Any 4K Panorama

    Mar 13, 2026Lutao Jiang, Zidong Cao, Weikai Chen +14Instance SegmentationVision Foundation Models

    The Hong Kong University of Science and Technology (Guangzhou) · LIGHTSPEED · The University of Hong Kong +1

  6. WalkGPT: Grounded Vision-Language Conversation with Depth-Aware Segmentation for Pedestrian Navigation

    Mar 11, 2026Rafi Ibn Sultan, Hui Zhu, Xiangyu Zhou +4Vision-Language GroundingLarge Vision-Language Models

    Department of Computer Science, Wayne State University · Department of Radiation Oncology, Henry Ford Health · Department of Electrical and Computer Engineering, The Ohio State University +1

  7. Colony Grounded SAM2: Zero-shot detection and segmentation of bacterial colonies using foundation models

    Mar 11, 2026Daan Korporaal, Patrick de Kruijf, Ralph H. G. M. Litjens +1Zero-Shot Referring Image SegmentationObject Detection

    Wageningen Food Safety Research, Wageningen, The Netherlands

  8. OilSAM2: Memory-Augmented SAM2 for Scalable SAR Oil Spill Detection

    Mar 10, 2026Shuaiyu Chen, Ming Yin, Peng Ren +2Synthetic Aperture RadarRemote Sensing Image Segmentation

    Multimodal Intelligence Lab, Department of Computer Science, University of Exeter, United Kingdom · College of Oceanography and Space Informatics, China University of Petroleum (East China), China. · Department of Computer Science, University of Exeter, United Kingdom

  9. Grounding Synthetic Data Generation With Vision and Language Models

    Mar 10, 2026Ümit Mert Çağlar, Alptekin TemizelSynthetic Data AugmentationSynthetic Data Evaluation

    Graduate School of Informatics METU, Turkey

  10. RTFDNet: Fusion-Decoupling for Robust RGB-T Segmentation

    Mar 10, 2026Kunyu Tan, Mingjian LiangSemantic SegmentationMultimodal Robustness

    Kunyu Tan and Mingjian Liang are independent researchers.

  11. BuildMamba: A Visual State-Space Based Model for Multi-Task Building Segmentation and Height Estimation from Satellite Images

    Mar 9, 2026Sinan U. Ulu, A. Enes Doruk, I. Can Yagmur +3Remote Sensing Image SegmentationSemantic Segmentation

    Graduate School of Engineering, Ozyegin university, 34794 Istanbul, Türkiye. · Department of Computer Science, University of Rochester, Rochester, NY 14627 USA. · School of Engineering and Natural Sciences, Istanbul Medipol University, 34810 Istanbul, Türkiye. +1

  12. Real-Time Monocular Scene Analysis for UAV in Outdoor Environments

    Mar 9, 2026Yara AlaaEldinMonocular Depth EstimationSynthetic-to-Real Domain Adaptation

    University of Genova; DRIM; Ph.D. Program of National Interest in Robotics and Intelligent Machines; Administrative Headquarters: Università di Genova

  13. Efficient RGB-D Scene Understanding via Multi-task Adaptive Learning and Cross-dimensional Feature Guidance

    Mar 8, 2026Guodong Sun, Junjie Liu, Gaoyang Zhang +23D Scene UnderstandingSemantic Segmentation

    School of Mechanical Engineering, Hubei University of Technology, Wuhan, 430068, China · Hubei Key Laboratory of Modern Manufacturing Quality Engineering, Hubei University of Technology, Wuhan, 430068, China · Vehicle Measurement, Control and Safety Key Laboratory of Sichuan Province, Xihua University, Chengdu, 610039, China +2

  14. Local Precise Refinement: A Dual-Gated Mixture-of-Experts for Enhancing Foundation Model Generalization against Spectral Shifts

    Mar 8, 2026Xi Chen, Maojun Zhang, Yu Liu +1Domain Generalization for Semantic SegmentationRemote Sensing Image Segmentation

    National University of Defense Technology

  15. A Contrastive Fewshot RGBD Traversability Segmentation Framework for Indoor Robotic Navigation

    Mar 6, 2026Qiyuan An, Tuan Dang, Fillia MakedonIndoor Robot NavigationSemantic Segmentation

    Department of Computer Science and Engineering, University of Texas at Arlington, 1225 West Mitchell, Arlington, TX 76019, USA · Uber, Sunnyvale, CA 94086 USA · Cognitive Robotics Lab, Department of Electrical Engineering and Computer Science, University of Arkansas, Fayetteville, AR, USA

  16. JOPP-3D: Joint Open Vocabulary Semantic Segmentation on Point Clouds and Panoramas

    Mar 6, 2026Sandeep Inuganti, Hideaki Kanayama, Kanta Shimizu +43D Point Cloud SegmentationOpen-Vocabulary 3D Segmentation

    German Research Center for Artificial Intelligence, DFKI, Germany · RPTU Kaiserslautern, Germany · Ricoh Company, Ltd. Japan +1

  17. Generalizable Multiscale Segmentation of Heterogeneous Map Collections

    Mar 5, 2026Remi PetitpierreSemantic SegmentationImage Segmentation

    EPFL, Swiss Federal Institute of Technology in Lausanne. Digital Humanities Laboratory (DHLAB), School of Computer and Communication Sciences (IC). CM 1 468, Station 10, 1015 Lausanne, Switzerland. · EPFL. Laboratory of Urban Sociology (LASUR), School of Architecture, Civil and Environmental Engineering (ENAC).

  18. Locality-Attending Vision Transformer

    Mar 5, 2026Sina Hajimiri, Farzad Beizaee, Fereshteh Shakeri +3Vision TransformerSemantic Segmentation

    ÉTS Montreal, LIVIA, ILLS

  19. GeoSeg: Training-Free Reasoning-Driven Segmentation in Remote Sensing Imagery

    Mar 4, 2026Lifan Jiang, Yuhang Pei, oxi Wu +5Remote Sensing Image SegmentationReasoning Segmentation

    State Key lab of CAD&CG, Zhejiang University · UniTTEC Co. Ltd. · Wuchan Zhongda Chengtou (Ningbo) Holdings. Ltd.

  20. Semantic Bridging Domains: Pseudo-Source as Test-Time Connector

    Mar 4, 2026Xizhong Yang, Huiming Wang, Ning Xu +1Domain AdaptationSource-Free Domain Adaptation

    Southeast University · Kuaishou Technology

  21. Glass Segmentation with Fusion of Learned and General Visual Features

    Mar 4, 2026Risto Ojala, Tristan Ellison, Mo ChenSemantic Segmentation

    Aalto University · Espoo, Finland · Simon Fraser University +1

  22. SGMA: Semantic-Guided Modality-Aware Segmentation for Remote Sensing with Incomplete Multimodal Data

    Mar 3, 2026Lekang Wen, Liang Liao, Jing Xiao +1Multimodal Semantic SegmentationRemote Sensing Image Segmentation

    State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University · Hangzhou Institute of Technology, Xidian University · School of Artificial Intelligence, Wuhan University

  23. DINOv3 Visual Representations for Blueberry Perception Toward Robotic Harvesting

    Mar 2, 2026Rui-Feng Wang, Daniel Petti, Yue Chen +1Robotic HarvestingRobotic Perception

    Bio-Sensing, Automation, and Intelligence Laboratory, Department of Agricultural and Biological Engineering, Institute of Food and Agricultural Sciences, University of Florida, Gainesville, FL 32611, USA · Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA

  24. Cryo-Bench: Benchmarking Foundation Models for Cryosphere Mapping

    Mar 2, 2026Saurabh Kaushik, Lalit Maurya, Beth Tellman +4Remote Sensing Image SegmentationGeospatial Foundation Models

    University of Wisconsin–Madison, Madison, WI, USA · School of Computing and Mathematics, Manchester Metropolitan University, Manchester, M1 5GD, UK · Department of Computer Science and Engineering, Tezpur University, Assam 784028, India +3

  25. Benchmarking Semantic Segmentation Models via Appearance and Geometry Attribute Editing

    Mar 2, 2026Zijin Yin, Bing Li, Kongming Liang +4Semantic SegmentationOpen-Vocabulary Semantic Segmentation

    School of Artificial Intelligence, Beijing University of Posts and Telecommunications, and Beijing Key Laboratory of Multimodal Data Intelligent Perception and Governance, Beijing 100876, China. · Visual Computing Center, King Abdullah University of Science and Technology, Jeddah, Saudi Arabia. · China Telecom Artificial Intelligence Technology Co. Ltd, Beijing 100034, China.

  26. Open-Vocabulary vs Supervised Learning Methods for Post-Disaster Visual Scene Understanding

    Mar 1, 2026Anna Michailidou, Georgios Angelidis, Vasileios Argyriou +2Object DetectionOpen-Vocabulary Object Detection

    Department of Informatics and Telematics, Harokopio University of Athens, Athens, Greece · Department of Networks and Digital Media, Kingston University, London, United Kingdom · Department of Electrical and Computer Engineering, University of Western Macedonia, Kozani, Greece +1

  27. Vision-Language Semantic Grounding for Multi-Domain Crop-Weed Segmentation

    Feb 27, 2026Nazia Hossain, Xintong Jiang, Yu Tian +3Domain Generalization for Semantic SegmentationSemantic Segmentation

    Department of Bioresource Engineering, McGill University, Sainte-Anne-de-Bellevue, QC, Canada · Department of Plant Science, McGill University, Sainte-Anne-de-Bellevue, QC, Canada

  28. CycleBEV: Regularizing View Transformation Networks via View Cycle Consistency for Bird's-Eye-View Semantic Segmentation

    Feb 27, 2026Jeongbin Hong, Dooseop Choi, Taeg-Hyun An +2Bird's-Eye-View SegmentationCycle Consistency

    Electronics and Telecommunications Research Institute (ETRI) · University of Science and Technology (UST)

  29. Zero-Shot and Supervised Bird Image Segmentation Using Foundation Models: A Dual-Pipeline Approach with Grounding DINO1.5, YOLOv11, and SAM2.1

    Feb 26, 2026Abhinav MunagalaZero-Shot Referring Image SegmentationImage Segmentation

  30. SO3UFormer: Learning Intrinsic Spherical Features for Rotation-Robust Panoramic Dense Prediction

    Feb 26, 2026Qinfeng Zhu, Yunxi Jiang, Lei FanDepth EstimationVision Transformer

    University of Liverpool, United Kingdom. · CNRS, France. · Xi’an Jiaotong-Liverpool University, China.