Enhanced YOLO for fabric defect detection via region-aware attention and hypergraph computation
Junpu Wang, Tao Ruan, Jingwei Lu, Yuhao Hu et autres
Fabric defect detection is vital for textile quality control, yet it remains challenging due to multiscale defect sizes, complex morphologies, and irregular spatial distributions. Existing methods, particularly convolution-based YOLO series, often struggle to effectively capture fine-grained texture variations and long-range dependencies of …
cn (code pays fourni par la source)
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Journal of Industrial Textiles