A YOLOv5 variant with BiFPN, directional detail enhancement, and two attention fusion modules reports state-of-the-art mAP on GC10-DET and DAGM2007.
Research on a metal surface defect detection algorithm based on dsl-yolo,
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YOLO-FDA: Integrating Hierarchical Attention and Detail Enhancement for Surface Defect Detection
A YOLOv5 variant with BiFPN, directional detail enhancement, and two attention fusion modules reports state-of-the-art mAP on GC10-DET and DAGM2007.