Image Classification on ImageNet UnBiased 1k
94.5AccuracyPoE_Temps
Evaluation Results
| Method | Links | |
|---|---|---|
| PoE_TempsEnsembling strategy=Product of Experts, Calibrator=Temperature Scaling, Backbone=ResNet-502021.11 | 94.5 | |
| DRiFtEnsembling strategy=DRiFt, Calibrator=None, Backbone=ResNet-502021.11 | 94.4 | |
| DRiFt_TempsEnsembling strategy=DRiFt, Calibrator=Temperature Scaling, Backbone=ResNet-502021.11 | 94.4 | |
| PoEEnsembling strategy=Product of Experts, Calibrator=None, Backbone=ResNet-502021.11 | 94.3 | |
| PoE_DirichletEnsembling strategy=Product of Experts, Calibrator=Dirichlet, Backbone=ResNet-502021.11 | 94.3 | |
| DRiFt_DirichletEnsembling strategy=DRiFt, Calibrator=Dirichlet, Backbone=ResNet-502021.11 | 94.3 | |
| InvR_DirichletEnsembling strategy=Inverse-Risk, Calibrator=Dirichlet, Backbone=ResNet-502021.11 | 94.2 | |
| InvREnsembling strategy=Inverse-Risk, Calibrator=None, Backbone=ResNet-502021.11 | 94.1 | |
| InvR_TempsEnsembling strategy=Inverse-Risk, Calibrator=Temperature Scaling, Backbone=ResNet-502021.11 | 93.8 | |
| LMin_DirichletEnsembling strategy=Learned-Mixin, Calibrator=Dirichlet, Backbone=ResNet-502021.11 | 90.9 | |
| LMin_TempsEnsembling strategy=Learned-Mixin, Calibrator=Temperature Scaling, Backbone=ResNet-502021.11 | 90.6 | |
| LMinEnsembling strategy=Learned-Mixin, Calibrator=None, Backbone=ResNet-502021.11 | 90.5 |