Image Classification on ImageNet LT 2018 (test)
56.6Top-1 AccACE (3 experts)
Evaluation Results
| Method | Links | |
|---|---|---|
| ACE (3 experts)Backbone=ResNeXt-502021.08 | 56.6 | |
| RIDE (3 experts)Backbone=ResNeXt-50, Number of experts=32021.08 | 56.4 | |
| RIDE (2 experts)Backbone=ResNeXt-50, Number of experts=22021.08 | 55.9 | |
| RIDE (3 experts)Backbone=ResNet-50, Number of experts=32021.08 | 54.9 | |
| ACE (3 experts)Backbone=ResNet-502021.08 | 54.7 | |
| RIDE (2 experts)Backbone=ResNet-50, Number of experts=22021.08 | 54.4 | |
| Logit Adj.Backbone=ResNet-502021.08 | 51.1 | |
| LWSBackbone=ResNeXt-502021.08 | 49.9 | |
| cRTBackbone=ResNeXt-502021.08 | 49.5 | |
| τ-normBackbone=ResNeXt-502021.08 | 49.4 | |
| BBNBackbone=ResNeXt-502021.08 | 49.3 | |
| BBNBackbone=ResNet-502021.08 | 48.3 | |
| LWSBackbone=ResNet-502021.08 | 47.7 | |
| cRTBackbone=ResNet-502021.08 | 47.3 | |
| NCMBackbone=ResNeXt-502021.08 | 47.3 | |
| τ-normBackbone=ResNet-502021.08 | 46.7 | |
| OLTRBackbone=ResNeXt-502021.08 | 46.3 | |
| BaselineBackbone=ResNeXt-502021.08 | 44.4 | |
| NCMBackbone=ResNet-502021.08 | 44.3 | |
| ACE (3 experts)Backbone=ResNet-102021.08 | 44 | |
| CAMBackbone=ResNet-102021.08 | 43.1 | |
| cRTBackbone=ResNet-102021.08 | 41.8 | |
| BaselineBackbone=ResNet-502021.08 | 41.6 | |
| LWSBackbone=ResNet-102021.08 | 41.4 | |
| τ-normBackbone=ResNet-102021.08 | 40.6 | |
| LFMEBackbone=ResNet-102021.08 | 38.8 | |
| LDAM+DRWBackbone=ResNet-102021.08 | 36 | |
| NCMBackbone=ResNet-102021.08 | 35.5 | |
| OLTRBackbone=ResNet-102021.08 | 34.1 | |
| Lifted LossBackbone=ResNet-102021.08 | 30.8 | |
| Range LossBackbone=ResNet-102021.08 | 30.7 | |
| Focal lossBackbone=ResNet-102021.08 | 30.5 | |
| FSLwFBackbone=ResNet-102021.08 | 28.4 | |
| BaselineBackbone=ResNet-102021.08 | 20.9 |