Pixel-level Anomaly Detection and Localization on MVTec-AD
99.2AUC-PO2MAG
Evaluation results
| Method | Links | |||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| O2MAGsegmentation_model=trained U-Net2026.03 | 99.2 | 86.3 | 80.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| AnomalyDiffusionsegmentation_model=trained U-Net2026.03 | 99.1 | 81.4 | 76.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DualAnoDiffsegmentation_model=trained U-Net2026.03 | 99.1 | 84.5 | 78.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SeaSsegmentation_model=trained U-Net2026.03 | 98.7 | 83.1 | 78.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DFMGANsegmentation_model=trained U-Net2026.03 | 90 | 62.7 | 62.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |