HyperAI超神经

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

		Paper Title
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

0 of 8 row(s) selected.

HyperAI超神经

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

		Paper Title
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

0 of 8 row(s) selected.

Supervised Anomaly Detection On Mvtec Ad | SOTA | HyperAI超神经