Long-tailed Image Classification on CIFAR100-LT IR100 (test)
49.8Top-1 AccSADE
Evaluation results
| Method | Links | |
|---|---|---|
| SADEPrior=false2021.07 | 49.8 | |
| SADEBackbone=ResNet-32, Imbalance Ratio=1002021.07 | 49.8 | |
| SADEPrior=X2021.07 | 49.8 | |
| RIDEPrior=false2021.07 | 48 | |
| RIDEBackbone=ResNet-32, Imbalance Ratio=1002021.07 | 48 | |
| RIDEPrior=X2021.07 | 48 | |
| MISLASPrior=false2021.07 | 46.8 | |
| MISLASBackbone=ResNet-32, Imbalance Ratio=1002021.07 | 46.8 | |
| MISLASPrior=X2021.07 | 46.8 | |
| Balanced SoftmaxPrior=false2021.07 | 46.1 | |
| Balanced SoftmaxBackbone=ResNet-32, Imbalance Ratio=1002021.07 | 46.1 | |
| BSPrior=X2021.07 | 46.1 | |
| LADEPrior=false2021.07 | 45.6 | |
| LADEPrior=true2021.07 | 45.6 | |
| LADEBackbone=ResNet-32, Imbalance Ratio=1002021.07 | 45.6 | |
| LADEPrior=X2021.07 | 45.6 | |
| LADEPrior=✓2021.07 | 45.6 | |
| CausalBackbone=ResNet-32, Imbalance Ratio=1002021.07 | 45 | |
| BBNBackbone=ResNet-32, Imbalance Ratio=1002021.07 | 44.7 | |
| SoftmaxPrior=false2021.07 | 41.4 | |
| SoftmaxBackbone=ResNet-32, Imbalance Ratio=1002021.07 | 41.4 | |
| SoftmaxPrior=X2021.07 | 41.4 |