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SotA/Methodology/Anomaly Detection/BTAD

Anomaly Detection on BTAD

Metric: Detection AUROC (higher is better)

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#Model↕Detection AUROC▼AugmentationsPaperDate↕Code
1CPR98.3NoTarget before Shooting: Accurate Anomaly Detecti...2023-08-13Code
2UniNet97.73No--Code
3WeakREST-Block96.5YesIndustrial Anomaly Detection and Localization Us...2023-06-06-
4MuSc (zero-shot)96.16NoMuSc: Zero-Shot Industrial Anomaly Classificatio...2024-01-30Code
5RealNet96.1YesRealNet: A Feature Selection Network with Realis...2024-03-09Code
6AD-CLSCNFs95.93No--Code
7PyramidFlow (Res18)95.8YesPyramidFlow: High-Resolution Defect Contrastive ...2023-03-05-
8ReConPatch WRN-5095.8NoReConPatch : Contrastive Patch Representation Le...2023-05-26Code
9Reverse Distillation ++95.63No--Code
10D3AD95.2NoDynamic Addition of Noise in a Diffusion Model f...2024-01-09Code
11CPR94.8NoTarget before Shooting: Accurate Anomaly Detecti...2023-08-13Code
12WeakREST-Un94.4YesIndustrial Anomaly Detection and Localization Us...2023-06-06-
13URD93.9YesUnlocking the Potential of Reverse Distillation ...2024-12-10Code