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SOTA
监督异常检测
Supervised Anomaly Detection On Mvtec Ad
Supervised Anomaly Detection On Mvtec Ad
评估指标
Detection AUROC
评测结果
各个模型在此基准测试上的表现结果
Columns
模型名称
Detection AUROC
Paper Title
Repository
WeakREST-Block
99.8
Industrial Anomaly Detection and Localization Using Weakly-Supervised Residual Transformers
-
CPR
99.7
Target before Shooting: Accurate Anomaly Detection and Localization under One Millisecond via Cascade Patch Retrieval
ADClick
99.6
Towards Efficient Pixel Labeling for Industrial Anomaly Detection and Localization
-
PRN
99.4
Prototypical Residual Networks for Anomaly Detection and Localization
-
BGAD
99.3
Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomaly Detection
DRA
95.9
Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection
DevNet
94.5
Explainable Deep Few-shot Anomaly Detection with Deviation Networks
FLOS
93.9
Explainable Deep Few-shot Anomaly Detection with Deviation Networks
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