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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
Weakly-Supervised Surface Crack Segmentation by Generating Pseudo-Labels using Localization with a Classifier and ThresholdingCode1
SegFormer: Simple and Efficient Design for Semantic Segmentation with TransformersCode1
Topology-aware Mamba for Crack Segmentation in StructuresCode1
Distribution-aware Noisy-label Crack SegmentationCode0
A Few-Shot Attention Recurrent Residual U-Net for Crack SegmentationCode0
Infrastructure Crack Segmentation: Boundary Guidance Method and Benchmark DatasetCode0
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
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