Image Classification on CIFAR100 IR 50, uniform LT (test)
0.539Top-1 AccSADE
Evaluation results
| Method | Links | |
|---|---|---|
| SADEBackbone=ResNet-32, Imbalance Ratio=502021.07 | 0.539 | |
| RIDEBackbone=ResNet-32, Imbalance Ratio=502021.07 | 0.517 | |
| MISLASBackbone=ResNet-32, Imbalance Ratio=502021.07 | 0.515 | |
| Balanced SoftmaxBackbone=ResNet-32, Imbalance Ratio=502021.07 | 0.509 | |
| LADEBackbone=ResNet-32, Imbalance Ratio=502021.07 | 0.501 | |
| BBNBackbone=ResNet-32, Imbalance Ratio=502021.07 | 0.493 | |
| CausalBackbone=ResNet-32, Imbalance Ratio=502021.07 | 0.488 | |
| SoftmaxBackbone=ResNet-32, Imbalance Ratio=502021.07 | 0.456 |