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SotA/Methodology/Anomaly Detection/BTAD

Anomaly Detection on BTAD

Metric: Segmentation AUPRO (higher is better)

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#Model↕Segmentation AUPRO▼AugmentationsPaperDate↕Code
1ReConPatch WRN-5097.5NoReConPatch : Contrastive Patch Representation Le...2023-05-26Code
2CPR91.4NoTarget before Shooting: Accurate Anomaly Detecti...2023-08-13Code
3WeakREST-Block90.8YesIndustrial Anomaly Detection and Localization Us...2023-06-06-
4CPR85.1NoTarget before Shooting: Accurate Anomaly Detecti...2023-08-13Code
5WeakREST-Un84.9YesIndustrial Anomaly Detection and Localization Us...2023-06-06-
6MuSc (zero-shot)83.43NoMuSc: Zero-Shot Industrial Anomaly Classificatio...2024-01-30Code
7D3AD83.2NoDynamic Addition of Noise in a Diffusion Model f...2024-01-09Code
8UniNet80.01No--Code
9URD78.5YesUnlocking the Potential of Reverse Distillation ...2024-12-10Code
10AD-CLSCNFs72.77No--Code