| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| ADBench noisy-context scenario 1.0 | TACTIC | F1 Score84.78 | 532 | 2mo ago | |
| SMD | FITS | F1 Score99.95 | 375 | 8d ago | |
| SWaT | F1 Score99.89 | 348 | 20h ago | ||
| MVTec-AD (test) | I-AUROC100 | 348 | 15d ago | ||
| VisA | DiAD | AUROC99.6 | 293 | 5d ago | |
| PSM | GDformer | F1 Score98.74 | 157 | 7d ago | |
| MVTec-AD (test) | Dinomaly | P-AUROC99.9 | 152 | 2mo ago | |
| VisA (test) | GLAD | I-AUROC99.5 | 148 | 5d ago | |
| MVTec 3D-AD 1.0 (test) | GPAD | Mean Score0.989 | 134 | 1mo ago | |
| CIFAR-10 | SOTA | AUC99.6 | 132 | 1mo ago | |
| WBC | Best Unsupervised | ROCAUC99.5 | 132 | 21d ago | |
| SMAP | DCDetector | F1 Score97.02 | 114 | 18h ago | |
| UCF-Crime (test) | BN-WVAD | AUC0.8724 | 113 | 19d ago | |
| MVTec | Dinomaly | AUROC99.6 | 105 | 4d ago | |
| Aggregated Datasets | REJEX | Ranking Position1.73 | 104 | 3mo ago | |
| MPDD (test) | SIA | Image-level AU-ROC100 | 104 | 5d ago | |
| MSL | Pi-Transformer | Precision96.24 | 95 | 2mo ago | |
| MVTec-AD | INP-Former | Image AUROC99.66 | 92 | 6d ago | |
| MNIST | DROCC | AUC100 | 90 | 2mo ago | |
| BraTS | UniMMAD | Image-level AUROC95.838 | 90 | 8d ago | |
| BraTS 2018 (test) | AnyAD | AUROC (Image)94.82 | 88 | 3mo ago | |
| MNIST | IGD | AUC99.35 | 87 | 3mo ago | |
| CIFAR-10 32x32x3 | Geometric Transformations | AUROC0.957 | 87 | 3mo ago | |
| MVTec AD | CPR* | Overall AUROC99.8 | 83 | 3mo ago | |
| MVTec-AD | DFMGAN | AP-I100 | 80 | 2mo ago |
