Machine vision-based surface defect testing of industrial materials using a lightweight multiscale attention fusion network
A method named global attention mechanism for deeply separable YOLO (simply denoted as GMD-YOLO) network that integrates global context and local information in a multi-scale attention fusion module to improve the recognition of small defects, and an enhanced depth separable convolution to reduce computational cost.