FPFNet reports state-of-the-art AUROC scores on MVTec-AD and VisA for unified multi-class defect detection by adding feature perturbation and hierarchical fusion to UniAD with no extra parameters.
A new method of feature fu- sion and its application in image recognition.Pattern Recognition, 38(12):2437–2448, 2005
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Feature Perturbation Pool-based Fusion Network for Unified Multi-Class Industrial Defect Detection
FPFNet reports state-of-the-art AUROC scores on MVTec-AD and VisA for unified multi-class defect detection by adding feature perturbation and hierarchical fusion to UniAD with no extra parameters.