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Crack Segmentation

Crack segmentation in computer vision involves identifying and delineating cracks or fractures in various types of surfaces, such as roads, pavements, walls, or infrastructure. This task is crucial for infrastructure maintenance, as it helps in assessing the condition of structures and planning repairs.

Papers

Showing 110 of 63 papers

TitleStatusHype
SCSegamba: Lightweight Structure-Aware Vision Mamba for Crack Segmentation in StructuresCode3
U-Net: Convolutional Networks for Biomedical Image SegmentationCode3
Hybrid-Segmentor: A Hybrid Approach to Automated Fine-Grained Crack Segmentation in Civil InfrastructureCode2
Learning-Based Defect Recognitions for Autonomous UAV InspectionsCode2
Topology-aware Mamba for Crack Segmentation in StructuresCode1
CrackSegDiff: Diffusion Probability Model-based Multi-modal Crack SegmentationCode1
IRFusionFormer: Enhancing Pavement Crack Segmentation with RGB-T Fusion and Topological-Based LossCode1
Staircase Cascaded Fusion of Lightweight Local Pattern Recognition and Long-Range Dependencies for Structural Crack SegmentationCode1
Mamba meets crack segmentationCode1
Segmentation tool for images of cracksCode1
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