Long-tailed Image Classification on CIFAR-100-LT Imbalance ratio 50
57.75Top-1 AccPrototype Classifier
Evaluation Results
| Method | Links | |
|---|---|---|
| Prototype Classifier2023.02 | 57.75 | |
| WD + WD + Maxweight regularization=WD + WD + Max2023.02 | 57.71 | |
| DRO-LT2023.02 | 57.57 | |
| PaCOself-supervised pre-training=true, aggressive data augmentation=true2023.02 | 56 | |
| PaCoTraining setup=RandAugment [12] in 400 epochs2021.07 | 56 | |
| Balanced SoftmaxTraining setup=RandAugment [12] in 400 epochs2021.07 | 54.2 | |
| NCM2023.02 | 53.62 | |
| GCLBackbone Net=ResNet-322023.05 | 53.55 | |
| WDweight decay=tuned baseline2023.02 | 52.71 | |
| MisLASBackbone Net=ResNet-322023.05 | 52.62 | |
| MISLAS2021.07 | 52.3 | |
| Contrastive learningBackbone Net=ResNet-322023.05 | 51.87 | |
| CE loss + mixup + cRTBackbone Net=ResNet-322023.05 | 50.86 | |
| De-confound-TDEBackbone Net=ResNet-322023.05 | 50.31 | |
| Causal Norm2021.07 | 50.3 | |
| ResLT2021.07 | 50 | |
| LDAM-DRWBackbone Net=ResNet-322023.05 | 47.62 | |
| LogitAdjust2023.02 | 47.03 | |
| BBNBackbone Net=ResNet-322023.05 | 47.02 | |
| BBN2021.07 | 47 | |
| cRT2023.02 | 46.83 | |
| LDAM+DRW2021.07 | 46.6 | |
| CE loss + mixupBackbone Net=ResNet-322023.05 | 45.16 | |
| LDAM Loss2023.02 | 44.97 | |
| Focal Loss2023.02 | 44.32 | |
| Focal Loss2021.07 | 44.3 | |
| CE lossBackbone Net=ResNet-322023.05 | 43.9 | |
| CE2023.02 | 43.85 |