| Paper | Code | Detection AUROC | Segmentation AUROC | Segmentation AUPRO | Segmentation AP | ModelName | ReleaseDate |
|---|---|---|---|---|---|---|---|
| Industrial Anomaly Detection and Localization Using Weakly-Supervised Residual Transformers | 99.8 | 99.7 | 98.4 | 87.6 | WeakREST-Block | 2023-06-06 | |
| Target before Shooting: Accurate Anomaly Detection and Localization under One Millisecond via Cascade Patch Retrieval | ✓ Link | 99.7 | 99.6 | 98.3 | 86.0 | CPR | 2023-08-13 |
| Towards Efficient Pixel Labeling for Industrial Anomaly Detection and Localization | 99.6 | 99.6 | 98.2 | 86.4 | ADClick | 2024-07-03 | |
| Prototypical Residual Networks for Anomaly Detection and Localization | 99.4 | 99.0 | 96.1 | 78.6 | PRN | 2022-12-05 | |
| Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomaly Detection | ✓ Link | 99.3 | 99.2 | BGAD | 2022-07-04 | ||
| Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection | ✓ Link | 95.9 | DRA | 2022-03-28 | |||
| Explainable Deep Few-shot Anomaly Detection with Deviation Networks | ✓ Link | 94.5 | 91.8 | DevNet | 2021-08-01 | ||
| Explainable Deep Few-shot Anomaly Detection with Deviation Networks | ✓ Link | 93.9 | FLOS | 2021-08-01 |