Supervised Anomaly Detection On Mvtec Ad
Métriques
Detection AUROC
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
| Nom du modèle | Detection AUROC |
|---|---|
| catching-both-gray-and-black-swans-open-set | 95.9 |
| target-before-shooting-accurate-anomaly | 99.7 |
| explicit-boundary-guided-semi-push-pull | 99.3 |
| explainable-deep-few-shot-anomaly-detection | 94.5 |
| efficient-anomaly-detection-with-budget | 99.8 |
| towards-efficient-pixel-labeling-for | 99.6 |
| prototypical-residual-networks-for-anomaly | 99.4 |
| explainable-deep-few-shot-anomaly-detection | 93.9 |