Image Segmentation

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Overview

Image segmentation assigns each pixel or voxel to a meaningful region, object, or structure, enabling tasks such as measuring anatomy, mapping land, and understanding scenes. Methods range from thresholding and variational contours to U-Net-style networks, transformers, and foundation models such as SAM, often guided by text, points, boxes, or reference images. Current work also explores learning from sparse labels, synthetic data, multiple modalities, and video, with benchmarks spanning medical scans, natural images, remote sensing, and microscopy. A central challenge is balancing accurate boundaries and topology with reliable performance on new domains, limited annotations, uncertainty, and practical limits on speed and memory.

Latest papers

CardsList

401 papers24 papers in the last four weeks, up 9% on the four weeks before. 0.1% of all new papers.

  1. SegCol Challenge: Semantic Segmentation for Tools and Fold Edges in Colonoscopy data

    Dec 20, 2024Xinwei Ju, Rema Daher, Razvan Caramalau +7EndoscopyImage Segmentation

    UCL Hawkes Institute, University College London, London, UK · Department of Computer Science, University College London, London, UK · Medtronic, London, UK +3

  2. Open-World Panoptic Segmentation

    Dec 17, 2024Matteo Sodano, Federico Magistri, Jens Behley +1Image SegmentationPanoptic Segmentation

    Center for Robotics, University of Bonn, Germany, and the Lamarr Institute for Machine Learning and Artificial Intelligence, Germany

  3. TACO: Training-free Sound Prompted Segmentation via Semantically Constrained Audio-visual CO-factorization

    Dec 2, 2024Hugo Malard, Michel Olvera, Stephane Lathuiliere +1Image SegmentationAudio-Visual Representation Learning

    LTCI, Télécom Paris, Institut Polytechnique de Paris

  4. Segment Anything for Dendrites from Electron Microscopy

    Nov 4, 2024Zewen Zhuo, Ilya Belevich, Ville Leinonen +4Image SegmentationVision Foundation Models

    A.I. Virtanen Institute for Molecular Sciences University of Eastern Finland Kuopio, Finland · Electron Microscopy Unit Institute of Biotechnology University of Helsinki Helsinki, Finland · Department of Medicine Faculty of Health Sciences University of Eastern Finland Kuopio, Finland

  5. Explainable Convolutional Neural Networks for Retinal Fundus Classification and Cutting-Edge Segmentation Models for Retinal Blood Vessels from Fundus Images

    May 12, 2024Fatema Tuj Johora Faria, Mukaffi Bin Moin, Pronay Debnath +2Explainable Medical Image AnalysisRetinal Vessel Segmentation

    aDepartment of Computer Science and Engineering, Ahsanullah University of Science and Technology, Dhaka, Bangladesh

  6. A locally statistical active contour model for SAR image segmentation can be solved by denoising algorithms

    Jan 10, 2024Guangming LiuImage SegmentationRemote Sensing Image Segmentation

    Yantai Science and Technology Association

  7. The TopCoW Challenge -- Topology-Aware Circle of Willis Segmentation for CT and MR Angiography

    Dec 29, 2023Kaiyuan Yang, Fabio Musio, Yihui Ma +112Image SegmentationMedical Image Segmentation

  8. Active contours driven by local and global intensity fitting energy with application to SAR image segmentation and its fast solvers

    Dec 19, 2023Guangming LiuImage SegmentationRemote Sensing Image Segmentation

    Yantai Science and Technology Association

  9. SAR image segmentation algorithms based on I-divergence-TV model

    Dec 9, 2023Guangming LiuImage SegmentationRemote Sensing Image Segmentation

    Yantai Science and Technology Association

  10. A global optimization SAR image segmentation model can be easily transformed to a general ROF denoising model

    Dec 8, 2023Guangming LiuImage SegmentationConvex Relaxation

    Yantai Science and Technology Association

  11. Multiclass histogram-based thresholding using kernel density estimation and scale-space representations

    Feb 10, 2022S. Korneev, J. Gilles, I. BattiatoUnsupervised Image SegmentationImage Segmentation