Anomaly Detection on MVTec AD (PRO and Error Metrics)
95.1PRON-pad
Evaluation results
| Method | Links | ||
|---|---|---|---|
| N-padCategory=Pre-trained Feature Based2022.10 | 95.1 | 4.9 | |
| PatchCoreSubsampling percentage=10%2021.06 | 93.5 | 6.5 | |
| PatchCoreCategory=Pre-trained Feature Based2022.10 | 93.5 | 6.5 | |
| PatchCoreSubsampling percentage=25%2021.06 | 93.4 | 6.6 | |
| PatchCoreSubsampling percentage=1%2021.06 | 93.1 | 6.9 | |
| FastFlowCategory=Normalizing Flow Based2022.10 | 93 | 7 | |
| PEFMCategory=Normalizing Flow Based2022.10 | 92.4 | 7.6 | |
| PaDiM2021.06 | 92.1 | 7.9 | |
| PaDiMCategory=Pre-trained Feature Based2022.10 | 92.1 | 7.9 | |
| SPADE2021.06 | 91.7 | 8.3 | |
| CFLOW-ADCategory=Normalizing Flow Based2022.10 | 91.7 | 8.3 | |
| SPADECategory=Pre-trained Feature Based2022.10 | 91.7 | 8.3 | |
| Student2021.06 | 85.7 | 14.3 | |
| AE_SSIM2021.06 | 69.4 | 30.6 |