Selective Classification on Mixture distribution even mixture of seven covariate shifts
0.3635AURCML
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| MLClassifier=ResNet502026.05 | 0.3635 | — | |
| MSPClassifier=ResNet502026.05 | 0.3563 | — | |
| SMClassifier=ResNet502026.05 | 0.3563 | — | |
| LMClassifier=ResNet502026.05 | 0.3563 | — | |
| NEClassifier=ResNet502026.05 | 0.3563 | — | |
| NGIClassifier=ResNet502026.05 | 0.3563 | — | |
| MSPClassifier=Swin-T2026.05 | 0.3347 | — | |
| SMClassifier=Swin-T2026.05 | 0.3347 | — | |
| LMClassifier=Swin-T2026.05 | 0.3347 | — | |
| NEClassifier=Swin-T2026.05 | 0.3347 | — | |
| NGIClassifier=Swin-T2026.05 | 0.3347 | — | |
| MLClassifier=Swin-T2026.05 | 0.2868 | — | |
| ReSIDeClassifier=ResNet50, CSF=ML2026.05 | 0.2266 | 37.66 | |
| ReSIDeClassifier=ResNet50, CSF=LM2026.05 | 0.2094 | 41.23 | |
| ReSIDeClassifier=ResNet50, CSF=SM2026.05 | 0.2072 | 41.85 | |
| ReSIDeClassifier=Swin-T, CSF=ML2026.05 | 0.2048 | 28.59 | |
| ReSIDeClassifier=ResNet50, CSF=NGI2026.05 | 0.2028 | 43.08 | |
| ReSIDeClassifier=ResNet50, CSF=MSP2026.05 | 0.2004 | 43.76 | |
| ReSIDeClassifier=ResNet50, CSF=NE2026.05 | 0.1972 | 44.65 | |
| ReSIDeClassifier=Swin-T, CSF=MSP2026.05 | 0.1947 | 41.83 | |
| ReSIDeClassifier=Swin-T, CSF=SM2026.05 | 0.1902 | 43.17 | |
| ReSIDeClassifier=Swin-T, CSF=NE2026.05 | 0.1879 | 43.86 | |
| ReSIDeClassifier=Swin-T, CSF=LM2026.05 | 0.1858 | 44.49 | |
| ReSIDeClassifier=Swin-T, CSF=NGI2026.05 | 0.1845 | 44.88 |