Image Classification on CIFAR100 LT (r=10)
68.7Top-1 AccuracyOurs
Evaluation results
| Method | Links | |
|---|---|---|
| OursBackbone=ResNet-322026.03 | 68.7 | |
| SELBackbone=ResNet-322026.03 | 68.4 | |
| Meta-CALABackbone=ResNet-322026.03 | 65.5 | |
| FeatReconBackbone=ResNet-322026.03 | 65.3 | |
| BCLBackbone=ResNet-322026.03 | 64.9 | |
| Heuristic-CALABackbone=ResNet-322026.03 | 64.3 | |
| DiffuLT + BBNBackbone=ResNet-322026.03 | 64 | |
| DiffuLTBackbone=ResNet-322026.03 | 63.8 | |
| DiVEBackbone=ResNet-322026.03 | 62 | |
| ADRWBackbone=ResNet-322026.03 | 61.9 | |
| BBNBackbone=ResNet-322026.03 | 59.1 | |
| LDAM-DRWBackbone=ResNet-322026.03 | 58.7 | |
| CUDABackbone=ResNet-322026.03 | 58.4 | |
| cRTBackbone=ResNet-322026.03 | 58.1 | |
| Focal LossBackbone=ResNet-322026.03 | 55.8 | |
| CEBackbone=ResNet-322026.03 | 55.7 |