Anomaly Detection on VisA 12-class
93Instance-level AUC (Avg)DeCoFlow
Evaluation results
| Method | Links | ||
|---|---|---|---|
| DeCoFlowContinual Learning Setting=1x1 CIL, Training Protocol=Incremental2026.06 | 93 | 0 | |
| Joint_PatchCoreContinual Learning Setting=1x1 CIL, Training Protocol=Joint2026.06 | 91.6 | — | |
| Joint_CADICContinual Learning Setting=1x1 CIL, Training Protocol=Joint2026.06 | 91 | — | |
| ReplayCADContinual Learning Setting=1x1 CIL, Training Protocol=Incremental2026.06 | 90.3 | 5.5 | |
| CADICContinual Learning Setting=1x1 CIL, Training Protocol=Incremental2026.06 | 89.1 | 4.3 | |
| UCADContinual Learning Setting=1x1 CIL, Training Protocol=Incremental2026.06 | 87.4 | 3.9 | |
| IUFContinual Learning Setting=1x1 CIL, Training Protocol=Incremental2026.06 | 68.1 | 8.5 | |
| CDADContinual Learning Setting=1x1 CIL, Training Protocol=Incremental2026.06 | 62.8 | 22.2 | |
| FT_SimpleNetContinual Learning Setting=1x1 CIL, Training Protocol=Fine-tuning2026.06 | 61.6 | 28.3 | |
| DNEContinual Learning Setting=1x1 CIL, Training Protocol=Incremental2026.06 | 61 | 17.9 | |
| FT_CFAContinual Learning Setting=1x1 CIL, Training Protocol=Fine-tuning2026.06 | 59.3 | 32.7 | |
| FT_PatchCoreContinual Learning Setting=1x1 CIL, Training Protocol=Fine-tuning2026.06 | 58.9 | 36.1 | |
| FT_RD4ADContinual Learning Setting=1x1 CIL, Training Protocol=Fine-tuning2026.06 | 52.5 | 42.3 |