UniPCB reaches 98.0% mAP@0.5 on PCB defect detection by synthesizing realistic defects via multi-modal diffusion and feeding them into an attention-based detector.
Neural discrete representation learning
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UniPCB: A Generation-Assisted Detection Framework for PCB Defect Inspection
UniPCB reaches 98.0% mAP@0.5 on PCB defect detection by synthesizing realistic defects via multi-modal diffusion and feeding them into an attention-based detector.