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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 2130 of 63 papers

TitleStatusHype
Staircase Cascaded Fusion of Lightweight Local Pattern Recognition and Long-Range Dependencies for Structural Crack SegmentationCode1
Mamba meets crack segmentationCode1
Vision Mamba-based autonomous crack segmentation on concrete, asphalt, and masonry surfaces0
Robust feature knowledge distillation for enhanced performance of lightweight crack segmentation models0
Segmentation tool for images of cracksCode1
Deep Learning for Segmentation of Cracks in High-Resolution Images of Steel Bridges0
CrackNex: a Few-shot Low-light Crack Segmentation Model Based on Retinex Theory for UAV InspectionsCode1
A statistical method for crack detection in 3D concrete images0
UP-CrackNet: Unsupervised Pixel-Wise Road Crack Detection via Adversarial Image RestorationCode1
Mind Marginal Non-Crack Regions: Clustering-Inspired Representation Learning for Crack Segmentation0
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