Crack Segmentation Network model
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Automatic crack detection on road surfaces is an important task for supporting the quality control of road infrastructure in transportation. Various methods have been proposed for crack segmentation, but their accuracy is still limited. To improve the effectiveness of crack detection, we propose the Swin Transformer-V2 UNET for Crack Segmentation Network model (STUCNet) for crack recognition.
15p 
viengels
25-08-2023
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