Crack Segmentation

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Overview

Crack segmentation maps thin, branching defects in images of roads, buildings, industrial materials, and other surfaces, enabling measurement and assessment beyond simple crack detection. Methods include CNNs, Transformers and Mamba-style models, often augmented with edge, directional, uncertainty, or topology-aware features to preserve narrow boundaries and connected crack paths. Researchers also use synthetic data, weak labels, and vision foundation models to address sparse annotations and transfer across domains, evaluating on pavement, infrastructure, and materials imagery with overlap and connectivity metrics. A central challenge is balancing accurate, continuous masks with resistance to texture and noise while generalizing across cameras, materials, and missing or changing input modalities.

Latest papers

CardsList

19 papers2 papers in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

  1. DROA-CLIPSeg: Prompt-Guided Thin Crack Segmentation in Low-Light Conditions

    Oct 24, 2026Vinita Shukla, Partibha Jangra, Vinayak Pathak +2Crack SegmentationImage Segmentation

    Indian Institute of Technology Mandi · Indian Institute of Technology Kanpur

  2. An Automated and Reproducible Workflow for Crack Identification and Damage Assessment of Fusion Materials

    Oct 2, 2026Rinkle Juneja, Viktor Reshniak, Richard K. Archibald +4Microscopy Image AnalysisMaterials Science

    Oak Ridge National Laboratory, Oak Ridge, TN 37831

  3. An End-to-End Automated Pipeline for Controllable Crack Data Synthesis

    Sep 11, 2026Conghui Li, Muxin Pu, Chern Hong Lim +2Synthetic Data AugmentationLearning with Noisy Labels

    School of Information Technology, Monash University, Selangor, Malaysia · Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China · School of Engineering, Monash University, Selangor, Malaysia

  4. CoRe-SAM3: Conditional Semantic--Visual Reconciliation for SAM3 Crack Segmentation

    Sep 5, 2026Shipeng Liu, Liang Zhao, Dengfeng ChenCrack SegmentationDomain Adaptation

    School of Mechanical and Electrical Engineering, Xi’an University of Architecture and Technology, Xi’an, 710055, Shaanxi, China · School of Artificial Intelligence and Robotics, Xi’an University of Architecture and Technology, Xi’an, 710055, Shaanxi, China · School of Building Equipment Science and Engineering, Xi’an University of Architecture and Technology, Xi’an, 710055, Shaanxi, China

  5. Data-efficient crack quantification in lithium-ion cathodes using foundation model transfer

    Aug 27, 2026Thorsten Tegetmeyer-Kleine, Thomas Schmitt, Phillip Aquino +3Lithium-Ion BatteriesCrack Segmentation

    Junior Professorship for Artificial Intelligence and Digitalization for Batteries, Institute for Power Electronics and Electrical Drives (ISEA), RWTH Aachen University, Campus-Boulevard 89, Aachen, 52074, Germany · Center for Aging, Reliability and Lifetime Prediction of Electrochemical and Power Electronic Systems (CARL), RWTH Aachen University, Campus-Boulevard 89, Aachen, 52074, Germany · Juelich Aachen Research Alliance, JARA-Energy, Templergraben 55, Aachen, 52056, Germany +5

  6. Automated Borehole Core Analysis with Report-Derived Weak Labels and Supervised Crack Segmentation

    Aug 12, 2026Usama Imdad, Ali Khan, Luke Lu +2Weakly Supervised LearningBoundary-Aware Segmentation

    aLahore University of Management Sciences, Pakistan · ePI-Neuron, Australia · bSydney Water, Australia +2

  7. Compass: Degradation-Simulated Reciprocal Learning with Lightweight Needle RWKV for Multimodal Crack Segmentation under Missing Modalities

    Aug 4, 2026Hui Liu, Chen Jia, Fan Shi +3Missing-Modality LearningEfficient Multimodal Inference

    Engineering Research Center of Learning-Based Intelligent System (Ministry of Education) Tianjin University of Technology Tianjin, China

  8. STC-Net: Electroluminescence-Based Solar Cell Crack Segmentation for Power Loss Estimation

    Aug 3, 2026Shanaka Ramesh Gunasekara, Akila Eranda Devanarayana, Imasha Guruge +2Topology-Preserving Image SegmentationBoundary-Aware Segmentation

    RMIT University Melbourne, Australia · University of Jaffna Jaffna, Sri Lanka · Clean Energy Council Melbourne, Australia

  9. Semantic-Edge Response Decoding of SAM3 for Zero-Shot Crack Segmentation

    Jul 14, 2026Shipeng Liu, Zhanping Song, Liang Zhao +1Promptable Image SegmentationBoundary-Aware Segmentation

    Xi’an University of Architecture and Technology

  10. Multi-Task Crack Foundation Model for Engineering-Reliable Crack Representation and Topology Preservation in Civil Infrastructure

    Jun 4, 2026Blessing Agyei Kyem, Joshua Kofi Asamoah, Eugene Denteh +1Vision Foundation Model AdaptationTopology-Preserving Image Segmentation

    Department of Civil, Construction and Environmental Engineering, North Dakota State University, Fargo, 58102, ND, USA

  11. Rethinking Efficient Crack Segmentation with Task-Aligned Structural-Directional Modeling

    May 29, 2026Shipeng Liu, Liang Zhao, Dengfeng Chen +1Efficient Semantic SegmentationCrack Segmentation

    Xi’an University of Architecture and Technology

  12. Pixel-Level Pavement Distress Assessment Using Instance Segmentation

    May 25, 2026Logan Dewick, Bibesh Pyakurel, Kong Pheng Yang +2Image SegmentationInstance Segmentation

    University of Wisconsin - Green Bay · Computer Science Department, University of Wisconsin–Green Bay, Green Bay, WI, USA

  13. Cracks in the Foundation: A Civil Infrastructure Dataset to Challenge Vision Foundation Models

    May 18, 2026Nicola Farronato, Niccolo Avogaro, Thomas Frick +6Vision Foundation ModelsInstance Segmentation

    IBM Research · ETH Zürich · University of Twente

  14. SCRWKV: Ultra-Compact Structure-Calibrated Vision-RWKV for Topological Crack Segmentation

    May 14, 2026Hanxu Zhang, Chen Jia, Hui Liu +3Crack SegmentationSemantic Segmentation

    Engineering Research Center of Learning-Based Intelligent System, Ministry of Education, Tianjin University of Technology, Tianjin 300384, China · Key Laboratory of Computer Vision and System, Ministry of Education, Tianjin University of Technology, Tianjin 300384, China

  15. UnGAP: Uncertainty-Guided Affine Prompting for Real-Time Crack Segmentation

    May 4, 2026Conghui Li, Huanyu He, Xin Wang +2Segmentation Uncertainty EstimationCrack Segmentation

    School of Information Technology, Monash University, Selangor, Malaysia · Department of Electrical Engineering, Shanghai Jiao Tong University, Shanghai, China · School of Engineering, Monash University, Selangor, Malaysia

  16. CrackForward: Context-Aware Severity Stage Crack Synthesis for Data Augmentation

    Apr 21, 2026Nassim Sadallah, Mohand Saïd AlliliSynthetic Data AugmentationImage Generation

    LARIVIA Lab, Department of Computer Science and Engineering · Gatineau, QC, Canada

  17. FMS2^2: Unified Flow Matching for Segmentation and Synthesis of Thin Structures

    Mar 14, 2026Babak Asadi, Peiyang Wu, Mani Golparvar-Fard +2Thin-Structure SegmentationTopology-Preserving Image Segmentation

    University of Illinois at Urbana-Champaign

  18. 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

  19. Allure of Craquelure: A Variational-Generative Approach to Crack Detection in Paintings

    Feb 10, 2026Laura Paul, Holger Rauhut, Martin Burger +2Crack SegmentationImage Inverse Problems

    Dept. of Mathematics, LMU Munich, Germany · Munich Center for Machine Learning, Germany · Helmholtz Imaging, Deutsches Elektronen-Synchrotron DESY, Germany +2