Anomaly Detection on MTD
0.995AUROCHETMM
Evaluation results
| Method | Links | ||
|---|---|---|---|
| HETMM2023.03 | 0.995 | — | |
| CSFlow2023.03 | 0.993 | — | |
| MSFlow2023.03 | 0.992 | — | |
| MRKD2025.12 | 0.987 | — | |
| PatchCorecoreset_sampling_ratio=10%2021.06 | 0.979 | — | |
| PatchCore2023.03 | 0.979 | — | |
| DifferNet2021.06 | 0.977 | — | |
| DifferNet2025.12 | 0.977 | — | |
| 1-NN2021.06 | 0.8 | — | |
| I-NN2025.12 | 0.8 | — | |
| GANomaly2021.06 | 0.766 | — | |
| GANomaly2025.12 | 0.766 | — | |
| GeoTrans2025.12 | 0.755 | — | |
| OCSVM2025.12 | 0.587 | — | |
| DSEBN2025.12 | 0.572 | — | |
| DDAD-102023.05 | — | 98.3 | |
| DifferNet2022.10 | — | 0.977 | |
| DifferNet2023.05 | — | 97.7 | |
| GANomaly2023.05 | — | 76.7 | |
| N-pad2022.10 | — | 0.9822 | |
| PaDiM2022.10 | — | 0.8688 | |
| PatchCore2022.10 | — | 0.979 | |
| PatchCore-102023.05 | — | 97.9 |