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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
Crack Detection as a Weakly-Supervised Problem: Towards Achieving Less Annotation-Intensive Crack DetectorsCode1
Local Intensity Order Transformation for Robust Curvilinear Object SegmentationCode1
Segmentation tool for images of cracksCode1
Staircase Cascaded Fusion of Lightweight Local Pattern Recognition and Long-Range Dependencies for Structural Crack SegmentationCode1
Fine-tuning vision foundation model for crack segmentation in civil infrastructures0
EfficientCrackNet: A Lightweight Model for Crack Segmentation0
Automatic Road Crack Detection Using Random Structured Forests0
Dual flow fusion model for concrete surface crack segmentation0
DSCformer: A Dual-Branch Network Integrating Enhanced Dynamic Snake Convolution and SegFormer for Crack Segmentation0
CrackESS: A Self-Prompting Crack Segmentation System for Edge Devices0
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