OOD Detection on Stanford Cars Fine-grained OOD
70.3TNR@95%TPRDFDNet (MixOE-cut)
Evaluation results
| Method | Links | ||
|---|---|---|---|
| DFDNet (MixOE-cut)Auxiliary Outlier Data=true2026.06 | 70.3 | 93.1 | |
| MixOE-cutAuxiliary Outlier Data=true2026.06 | 68.9 | 92.9 | |
| MixOE-lineAuxiliary Outlier Data=true2026.06 | 63 | 92.2 | |
| MSPAuxiliary Outlier Data=false2026.06 | 56.1 | 90.3 | |
| DFDNet (MSP)Auxiliary Outlier Data=false2026.06 | 54.2 | 90.1 | |
| RotationAuxiliary Outlier Data=false2026.06 | 53.9 | 90.2 | |
| OEAuxiliary Outlier Data=true2026.06 | 52.5 | 89.9 | |
| OE-MAuxiliary Outlier Data=true2026.06 | 51.2 | 89.9 | |
| EnergyOEAuxiliary Outlier Data=true2026.06 | 46.2 | 89.5 | |
| ODINAuxiliary Outlier Data=false2026.06 | 44.5 | 88.6 | |
| EnergyAuxiliary Outlier Data=false2026.06 | 43.8 | 87.5 | |
| PRO-MSPAuxiliary Outlier Data=false2026.06 | 41.8 | 87.4 | |
| ScaleAuxiliary Outlier Data=false2026.06 | 40.3 | 86.9 | |
| VIMAuxiliary Outlier Data=false2026.06 | 17.4 | 81.7 |