Boundary-Aware Segmentation

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Overview

Boundary-aware segmentation aims to delineate objects and structures accurately, especially where boundaries are weak, thin, ambiguous, or clinically important. Common approaches add edge or distance-field prediction, boundary-weighted and topology-aware losses, frequency or geometric features, and targeted refinement guided by uncertainty; these methods are used in medical, remote-sensing, natural-scene, and 3D segmentation. Work also adapts foundation models with prompts, boundary-aware decoders, or distilled edge cues, and evaluates contours with measures such as Boundary F-score and Hausdorff distance alongside region-overlap metrics. A central challenge is improving boundary reliability without sacrificing region accuracy, generalization, or efficiency, particularly when annotations are uncertain or target domains differ.

Latest papers

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106 papers6 papers in the last four weeks, down 57% on the four weeks before. 0.0% of all new papers.

  1. Spatio-Semantic Expert Routing Architecture with Mixture-of-Experts for Referring Image Segmentation

    Mar 13, 2026Alaa Dalaq, Muzammil BehzadReferring Image SegmentationBoundary-Aware Segmentation

    King Fahd University of Petroleum and Mineral, Dhahran, 31261, Saudi Arabia · SDAIA-KFUPM Joint Research Center for Artificial Intelligence, Dhahran, 31261, Saudi Arabia

  2. Phase-Interface Instance Segmentation as a Visual Sensor for Laboratory Process Monitoring

    Mar 11, 2026Mingyue Li, Xin Yang, Shilin Yan +8Instance SegmentationBoundary-Aware Segmentation

    School of Chemistry and Chemical Engineering, Chongqing University of Technology, Chongqing 400054, China · School of Chemistry and Chemical Engineering, Southwest University, Chongqing 400715, China · Department of computer science, University of North Texas, Denton 76207, Texas, United States +2

  3. Bi-CamoDiffusion: A Boundary-informed Diffusion Approach for Camouflaged Object Detection

    Mar 9, 2026Patricia L. Suarez, Leo Thomas Ramos, Angel D. SappaCamouflaged Object DetectionImage Segmentation

    ESPOL Polytechnic University · Computer Vision Center · Universitat Aut`onoma de Barcelona

  4. Structure and Progress Aware Diffusion for Medical Image Segmentation

    Mar 9, 2026Siyuan Song, Guyue Hu, Chenglong Li +3Diffusion Models for Medical Image SegmentationMedical Image Segmentation

    School of Artificial Intelligence, Anhui University, 230601, Hefei, China · State Key Laboratory of Opto-Electronic Information Acquisition and Protection Technology, Anhui University, Hefei, 230601, China · Anhui Provincial Key Laboratory of Security Artificial Intelligence, Anhui University, Hefei, 230601, China +2

  5. Polyp Segmentation Using Wavelet-Based Cross-Band Integration for Enhanced Boundary Representation

    Mar 4, 2026Haesung Oh, Jaesung LeeImage SegmentationPolyp Segmentation

    Department of Artificial Intelligence, Chung-Ang University, Republic of Korea

  6. Gated Differential Linear Attention: A Linear-Time Decoder for High-Fidelity Medical Segmentation

    Mar 3, 2026Hongbo Zheng, Afshin Bozorgpour, Dorit Merhof +1Medical Image SegmentationLinear Attention

    University of Illinois Urbana-Champaign · University of Regensburg

  7. SEP-YOLO: Fourier-Domain Feature Representation for Transparent Object Instance Segmentation

    Mar 3, 2026Fengming Zhang, Tao Yan, Jianchao HuangInstance SegmentationBoundary-Aware Segmentation

    Jiangnan University, Wuxi, China

  8. MixerCSeg: An Efficient Mixer Architecture for Crack Segmentation via Decoupled Mamba Attention

    Mar 2, 2026Zilong Zhao, Zhengming Ding, Pei Niu +2Crack SegmentationHybrid CNN-Transformer Architectures

    School of Qilu Transportation, Shandong University, China · Department of Computer Science, Tulane University, USA

  9. Explainable Continuous-Time Mask Refinement with Local Self-Similarity Priors for Medical Image Segmentation

    Feb 28, 2026Rajdeep Chatterjee, Sudip Chakrabarty, Trishaani AcharjeeMedical Image SegmentationBoundary-Aware Segmentation

    School of Computer Engineering, Kalinga Institute of Industrial Technology, Bhubaneswar, India · AmygdalaAI-India Lab, Bhubaneswar, India

  10. SGDC: Structurally-Guided Dynamic Convolution for Medical Image Segmentation

    Feb 26, 2026Bo Shi, Wei-ping Zhu, M. N. S. SwamyMedical Image SegmentationDynamic Convolution

    Department of Electrical and Computer Engineering, Concordia University

  11. SpectralMamba-UNet: Frequency-Disentangled State Space Modeling for Texture-Structure Consistent Medical Image Segmentation

    Feb 26, 2026Fuhao Zhang, Lei Liu, Jialin Zhang +2Medical Image SegmentationVisual SSMs

    College of Computer Science, Sichuan Normal University, Chengdu, Sichuan 610068, China · Zhejiang University & Ant Group, Hangzhou, Zhejiang, China · State Key Laboratory of Public Big Data, Guizhou University, Guiyang, Guizhou 550025, China

  12. A Boundary-Metric Evaluation Protocol for Whiteboard Stroke Segmentation Under Extreme Imbalance

    Feb 26, 2026Nicholas KorcynskiImage SegmentationThin-Structure Segmentation

    Rowan University USA

  13. SAPNet++: Evolving Point-Prompted Instance Segmentation with Semantic and Spatial Awareness

    Feb 25, 2026Zhaoyang Wei, Xumeng Han, Xuehui Yu +4Instance SegmentationWeakly Supervised Image Segmentation

    the School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Science (UCAS), Beijing, 100049, China. · School of Automation and Intelligent Sensing, Shanghai Jiao Tong University (SJTU), Shanghai, 200240, China. · the School of Computer Science and Technology, University of Chinese Academy of Science (UCAS), Beijing, 100049, China.

  14. G2P: Gaussian-to-Point Attribute Alignment for Boundary-Aware 3D Segmentation

    Jan 7, 2026Hojun Song, Chae-yeong Song, Jeong-hun Hong +53D Point Cloud Segmentation3D Semantic Segmentation

    Kyungpook National University · Korea Electronics Technology Institute · Adobe Research +1

  15. Learning to Segment Liquids in Real-world Images

    Jan 2, 2026Jonas Li, Michelle Li, Luke Liu +2Image SegmentationBoundary-Aware Segmentation

    Department of Computer Science and Engineering, University of North Texas, Denton, TX 76203, USA

  16. AURASeg: Attention-Guided Upsampling with Residual-Assisted Boundary Refinement for Drivable-Area Segmentation

    Oct 24, 2025Narendhiran VijayakumarAutonomous Driving PerceptionBoundary-Aware Segmentation