Anomaly Detection via Reverse Distillation from One-Class Embedding

Benchmark Model Rank Results
anomaly-classification-on-goodsadRD4AD#8AUPR: 68.2AUROC: 66.5
anomaly-detection-on-aebad-sReverseDistillation#3Detection AUROC: 81.0Segmentation AUPRO: 85.6
anomaly-detection-on-aebad-vReverseDistillation#2Detection AUROC: 71.0
anomaly-detection-on-fashion-mnistReverse Distillation#2ROC AUC: 95.0
anomaly-detection-on-mvtec-adReverse Distillation#47Detection AUROC: 98.5Segmentation AUPRO: 93.9Segmentation AUROC: 97.8
anomaly-detection-on-mvtec-loco-adRD4AD#21Avg. Detection AUROC: 78.7Detection AUROC (only logical): 69.4
anomaly-detection-on-one-class-cifar-10Reverse Distillation#19AUROC: 86.5
anomaly-detection-on-visaReverse Distillation#43Segmentation AUPRO (until 30% FPR): 70.9