Image Classification on CIFAR-10-LT Imbalance Ratio 100 (test)
86.8Top-1 AccuracyBalPoE
Evaluation Results
| Method | Links | |
|---|---|---|
| BalPoEBackbone=ResNet-32, Training Setting=Longer training2022.06 | 86.8 | |
| NCLBackbone=ResNet-32, Training Setting=Longer training2022.06 | 85.5 | |
| BalPoEBackbone=ResNet-32, Training Setting=Standard2022.06 | 84.2 | |
| SADEBackbone=ResNet-32, Training Setting=Standard2022.06 | 83.8 | |
| Prototype Classifier2023.02 | 83.7 | |
| BSBackbone=ResNet-32, Training Setting=Standard2022.06 | 83.1 | |
| WD + WD + Max2023.02 | 82.9 | |
| UniMix+BayiasBackbone=ResNet-32, Training Setting=Standard2022.06 | 82.7 | |
| DRO-LT2023.02 | 82.6 | |
| MISLASBackbone=ResNet-32, Training Setting=Standard2022.06 | 82.1 | |
| RIDEBackbone=ResNet-32, Training Setting=Standard2022.06 | 81.6 | |
| ACEBackbone=ResNet-32, Training Setting=Standard2022.06 | 81.2 | |
| TLCBackbone=ResNet-32, Training Setting=Standard2022.06 | 80.3 | |
| NCM2023.02 | 80.1 | |
| TSCBackbone=ResNet-32, Imbalance Ratio=1002021.11 | 79.7 | |
| M2m-LDAMBackbone=ResNet-32, Imbalance Ratio=1002021.11 | 79.1 | |
| WD2023.02 | 78.6 | |
| M2m-ERMBackbone=ResNet-32, Imbalance Ratio=1002021.11 | 78.3 | |
| KCL†Backbone=ResNet-32, Imbalance Ratio=1002021.11 | 77.6 | |
| LDAM-DRWBackbone=ResNet-32, Training Setting=Standard2022.06 | 77.1 | |
| LDAM2023.02 | 77.03 | |
| LDAM-DRWBackbone=ResNet-32, Imbalance Ratio=1002021.11 | 77 | |
| CE-DRWBackbone=ResNet-32, Imbalance Ratio=1002021.11 | 75.1 | |
| CB-FocalBackbone=ResNet-32, Imbalance Ratio=1002021.11 | 74.6 | |
| CE-DRSBackbone=ResNet-32, Imbalance Ratio=1002021.11 | 74.5 | |
| cRT2023.02 | 73.5 | |
| LDAMBackbone=ResNet-32, Imbalance Ratio=1002021.11 | 73.4 | |
| CB-CEBackbone=ResNet-32, Imbalance Ratio=1002021.11 | 72.4 | |
| CE2023.02 | 72.1 | |
| CEBackbone=ResNet-32, Training Setting=Standard2022.06 | 71.3 | |
| CEBackbone=ResNet-32, Imbalance Ratio=1002021.11 | 70.4 | |
| FocalBackbone=ResNet-32, Imbalance Ratio=1002021.11 | 70.4 |