| Dataset Name | SOTA Method | Metric | Trend | ||
|---|---|---|---|---|---|
| MVTec-AD (test) | WeakREST | I-AUROC99.8 | 226 | 2d ago | |
| SMD | FITS | F1 Score99.95 | 217 | 2d ago | |
| VisA | DiAD | AUROC99.6 | 199 | 2d ago | |
| SWaT | FITS | F1 Score98.9 | 174 | 2d ago | |
| MVTec-AD (test) | Dinomaly | P-AUROC99.9 | 132 | 3d ago | |
| CIFAR-10 | SOTA | AUC99.6 | 120 | 3d ago | |
| MVTec 3D-AD 1.0 (test) | 3DSR | Mean Score0.978 | 107 | 3d ago | |
| Aggregated Datasets | REJEX | Ranking Position1.73 | 104 | 3d ago | |
| UCF-Crime (test) | BN-WVAD | AUC0.8724 | 99 | 3d ago | |
| VisA (test) | GLAD | I-AUROC99.5 | 91 | 2d ago | |
| BraTS 2018 (test) | AnyAD | AUROC (Image)94.82 | 88 | 3d ago | |
| MNIST | IGD | AUC99.35 | 87 | 3d ago | |
| WBC | Best Unsupervised | ROCAUC99.5 | 87 | 3d ago | |
| CIFAR-10 32x32x3 | Geometric Transformations | AUROC0.957 | 87 | 3d ago | |
| MVTec AD | CPR* | Overall AUROC99.8 | 83 | 3d ago | |
| PSM | F1 Score98.54 | 76 | 2d ago | ||
| CIFAR-100 | CLIP-ViT-L/14 (LAION-2B) | AUROC98.97 | 72 | 3d ago | |
| ShanghaiTech | 3D CNN Multi-task Learning | AUROC0.902 | 68 | 3d ago | |
| MVTec | Dinomaly | AUROC99.6 | 65 | 3d ago | |
| MNIST (test) | ESAD | AUC99.6 | 65 | 3d ago | |
| MPDD | GLASS | Clean AUROC0.996 | 62 | 3d ago | |
| Head-CT | MINNS | AUROC0.984 | 58 | 3d ago | |
| SDD | DPDL | AUC0.996 | 57 | 3d ago | |
| MVTec AD 1.0 (test) | SIA | Image AUROC100 | 57 | 3d ago | |
| Avenue | Georgescu et al. + SSPCAB | Frame AUC (Micro)92.9 | 55 | 3d ago |
