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Système

Supervised Anomaly Detection On Mvtec Ad

Métriques

Detection AUROC

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	Detection AUROC	Paper Title	Repository
DRA	95.9	Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection
CPR	99.7	Target before Shooting: Accurate Anomaly Detection and Localization under One Millisecond via Cascade Patch Retrieval
BGAD	99.3	Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomaly Detection
DevNet	94.5	Explainable Deep Few-shot Anomaly Detection with Deviation Networks
WeakREST-Block	99.8	Industrial Anomaly Detection and Localization Using Weakly-Supervised Residual Transformers	-
ADClick	99.6	Towards Efficient Pixel Labeling for Industrial Anomaly Detection and Localization	-
PRN	99.4	Prototypical Residual Networks for Anomaly Detection and Localization	-
FLOS	93.9	Explainable Deep Few-shot Anomaly Detection with Deviation Networks

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