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.
Scarcity-GAN: Scarce data augmentation for defect detection via generative adversarial nets.Neurocom- puting, 566:127061, 2024
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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.