Image Classification on CIFAR10-LT r=10 (Top-1 Accuracy)
92.5Top-1 AccuracyOurs
Evaluation results
| Method | Links | |
|---|---|---|
| OursBackbone=ResNet-322026.03 | 92.5 | |
| Meta-CALABackbone=ResNet-322026.03 | 92.4 | |
| Heuristic-CALABackbone=ResNet-322026.03 | 91.7 | |
| FeatReconBackbone=ResNet-322026.03 | 91.6 | |
| BCLBackbone=ResNet-322026.03 | 91.1 | |
| DiffuLT + BBNBackbone=ResNet-322026.03 | 90.9 | |
| DiffuLTBackbone=ResNet-322026.03 | 90.7 | |
| ADRWBackbone=ResNet-322026.03 | 90.3 | |
| SELBackbone=ResNet-322026.03 | 90.2 | |
| cRTBackbone=ResNet-322026.03 | 88.3 | |
| BBNBackbone=ResNet-322026.03 | 88.3 | |
| LDAM-DRWBackbone=ResNet-322026.03 | 88.2 | |
| Focal LossBackbone=ResNet-322026.03 | 86.7 | |
| CEBackbone=ResNet-322026.03 | 86.4 |