Image Classification on CIFAR-10-LT Imbalance Ratio 50 (test)
88.5Top-1 AccuracyBalPoE
Evaluation Results
| Method | Links | |
|---|---|---|
| BalPoEBackbone=ResNet-32, Training Setting=Longer training2022.06 | 88.5 | |
| NCLBackbone=ResNet-32, Training Setting=Longer training2022.06 | 87.3 | |
| BalPoEBackbone=ResNet-32, Training Setting=Standard2022.06 | 86.2 | |
| MISLASBackbone=ResNet-32, Training Setting=Standard2022.06 | 85.7 | |
| ACEBackbone=ResNet-32, Training Setting=Standard2022.06 | 84.3 | |
| UniMix+BayiasBackbone=ResNet-32, Training Setting=Standard2022.06 | 84.3 | |
| TSCBackbone=ResNet-32, Imbalance Ratio=502021.11 | 82.9 | |
| LDAM-DRWBackbone=ResNet-32, Training Setting=Standard2022.06 | 81.8 | |
| KCL†Backbone=ResNet-32, Imbalance Ratio=502021.11 | 81.7 | |
| LDAM-DRWBackbone=ResNet-32, Imbalance Ratio=502021.11 | 80.9 | |
| CB-FocalBackbone=ResNet-32, Imbalance Ratio=502021.11 | 79.3 | |
| CE-DRWBackbone=ResNet-32, Imbalance Ratio=502021.11 | 78.9 | |
| CE-DRSBackbone=ResNet-32, Imbalance Ratio=502021.11 | 78.6 | |
| CB-CEBackbone=ResNet-32, Imbalance Ratio=502021.11 | 78.1 | |
| CEBackbone=ResNet-32, Training Setting=Standard2022.06 | 77.3 | |
| LDAMBackbone=ResNet-32, Imbalance Ratio=502021.11 | 76.8 | |
| FocalBackbone=ResNet-32, Imbalance Ratio=502021.11 | 76.7 | |
| CEBackbone=ResNet-32, Imbalance Ratio=502021.11 | 74.8 |