MVTecAD
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Anomaly Detection | MVTecAD (test) | Bottle Score100 | 55 | |
| Anomaly Classification | MVTecAD Pareto distribution | Ct AUROC (%)96.55 | 14 | |
| Image-level Anomaly Detection | MVTecAD 4-shot | I-F197.9 | 9 | |
| Image-level Anomaly Detection | MVTecAD 2-shot | I-F197.7 | 9 | |
| Image-level Anomaly Detection | MVTecAD 1-shot | I-F197.6 | 9 | |
| Anomaly Detection | MVTecAD | GPU Cost (GB)1.03 | 9 | |
| Anomaly Detection | MVTecAD Hard | Image AUROC97.6 | 8 | |
| Anomaly segmentation | MVTecAD step tail distribution K=1 (test) | AUROC (Ct)94.19 | 7 | |
| Anomaly segmentation | MVTecAD step tail distribution K=4 (test) | Pixel AU-ROC (Ct)95.56 | 7 | |
| Anomaly segmentation | MVTecAD Pareto tail distribution shape 0.6 (test) | AUROC (Ct)96.08 | 7 | |
| Anomaly Localization | MVTecAD one-for-one setting | Carpet Score99.4 | 7 | |
| Novelty Detection | MvTecAD regular ND | AUROC0.996 | 7 | |
| Anomaly Detection | MVTecAD | AUROC94.3 | 6 | |
| Anomaly Detection | MvTecAD 0% Corruptions | I-AUROC0.992 | 4 |
Showing 14 of 14 rows