Image Classification on CIFAR-10-LT Imbalance Ratio 10 (test)
91.9Top-1 AccuracyBalPoE
Evaluation Results
| Method | Links | |
|---|---|---|
| BalPoEBackbone=ResNet-32, Training Setting=Longer training2022.06 | 91.9 | |
| BSBackbone=ResNet-32, Training Setting=Standard2022.06 | 90.9 | |
| SADEBackbone=ResNet-32, Training Setting=Standard2022.06 | 90.8 | |
| BalPoEBackbone=ResNet-32, Training Setting=Standard2022.06 | 90.2 | |
| MISLASBackbone=ResNet-32, Training Setting=Standard2022.06 | 90 | |
| RIDEBackbone=ResNet-32, Training Setting=Standard2022.06 | 89.7 | |
| UniMix+BayiasBackbone=ResNet-32, Training Setting=Standard2022.06 | 89.7 | |
| TSCBackbone=ResNet-32, Imbalance Ratio=102021.11 | 88.7 | |
| LDAM-DRWBackbone=ResNet-32, Imbalance Ratio=102021.11 | 88.2 | |
| LDAM-DRWBackbone=ResNet-32, Training Setting=Standard2022.06 | 88.2 | |
| KCL†Backbone=ResNet-32, Imbalance Ratio=102021.11 | 88 | |
| M2m-ERMBackbone=ResNet-32, Imbalance Ratio=102021.11 | 87.9 | |
| M2m-LDAMBackbone=ResNet-32, Imbalance Ratio=102021.11 | 87.5 | |
| CEBackbone=ResNet-32, Training Setting=Standard2022.06 | 87.2 | |
| CB-FocalBackbone=ResNet-32, Imbalance Ratio=102021.11 | 87.1 | |
| LDAMBackbone=ResNet-32, Imbalance Ratio=102021.11 | 87 | |
| CB-CEBackbone=ResNet-32, Imbalance Ratio=102021.11 | 86.8 | |
| FocalBackbone=ResNet-32, Imbalance Ratio=102021.11 | 86.7 | |
| CEBackbone=ResNet-32, Imbalance Ratio=102021.11 | 86.4 | |
| CE-DRWBackbone=ResNet-32, Imbalance Ratio=102021.11 | 86.4 | |
| CE-DRSBackbone=ResNet-32, Imbalance Ratio=102021.11 | 86.3 |