Image Classification on CIFAR-100 Long-Tailed 1.0 (test)
70.72Test AccuracyFine-tuning
Evaluation Results
| Method | Links | |
|---|---|---|
| Fine-tuningBackbone=ResNet-32, Imbalance factor=12019.02 | 70.72 | |
| Focal LossBackbone=ResNet-32, Imbalance factor=12019.02 | 70.52 | |
| BaseModelBackbone=ResNet-32, Imbalance factor=12019.02 | 70.5 | |
| Class-BalancedBackbone=ResNet-32, Imbalance factor=12019.02 | 70.5 | |
| Meta-Weight-NetBackbone=ResNet-32, Imbalance factor=12019.02 | 70.37 | |
| L2RWBackbone=ResNet-32, Imbalance factor=12019.02 | 64.11 | |
| Meta-Weight-NetBackbone=ResNet-32, Imbalance factor=102019.02 | 58.46 | |
| Class-BalancedBackbone=ResNet-32, Imbalance factor=102019.02 | 57.99 | |
| Fine-tuningBackbone=ResNet-32, Imbalance factor=102019.02 | 57.44 | |
| Focal LossBackbone=ResNet-32, Imbalance factor=102019.02 | 55.78 | |
| BaseModelBackbone=ResNet-32, Imbalance factor=102019.02 | 55.71 | |
| Meta-Weight-NetBackbone=ResNet-32, Imbalance factor=202019.02 | 54.37 | |
| L2RWBackbone=ResNet-32, Imbalance factor=102019.02 | 53.73 | |
| Class-BalancedBackbone=ResNet-32, Imbalance factor=202019.02 | 52.59 | |
| Fine-tuningBackbone=ResNet-32, Imbalance factor=202019.02 | 52.11 | |
| Focal LossBackbone=ResNet-32, Imbalance factor=202019.02 | 51.95 | |
| L2RWBackbone=ResNet-32, Imbalance factor=202019.02 | 51.64 | |
| BaseModelBackbone=ResNet-32, Imbalance factor=202019.02 | 51.14 | |
| Meta-Weight-NetBackbone=ResNet-32, Imbalance factor=502019.02 | 46.74 | |
| Fine-tuningBackbone=ResNet-32, Imbalance factor=502019.02 | 46.4 | |
| Class-BalancedBackbone=ResNet-32, Imbalance factor=502019.02 | 45.32 | |
| L2RWBackbone=ResNet-32, Imbalance factor=502019.02 | 44.44 | |
| Focal LossBackbone=ResNet-32, Imbalance factor=502019.02 | 44.32 | |
| BaseModelBackbone=ResNet-32, Imbalance factor=502019.02 | 43.85 | |
| Meta-Weight-NetBackbone=ResNet-32, Imbalance factor=1002019.02 | 42.09 | |
| Fine-tuningBackbone=ResNet-32, Imbalance factor=1002019.02 | 41.83 | |
| L2RWBackbone=ResNet-32, Imbalance factor=1002019.02 | 40.23 | |
| Class-BalancedBackbone=ResNet-32, Imbalance factor=1002019.02 | 39.6 | |
| Focal LossBackbone=ResNet-32, Imbalance factor=1002019.02 | 38.41 | |
| BaseModelBackbone=ResNet-32, Imbalance factor=1002019.02 | 38.32 | |
| Fine-tuningBackbone=ResNet-32, Imbalance factor=2002019.02 | 38.22 | |
| Meta-Weight-NetBackbone=ResNet-32, Imbalance factor=2002019.02 | 37.91 | |
| Class-BalancedBackbone=ResNet-32, Imbalance factor=2002019.02 | 36.23 | |
| Focal LossBackbone=ResNet-32, Imbalance factor=2002019.02 | 35.62 | |
| BaseModelBackbone=ResNet-32, Imbalance factor=2002019.02 | 34.84 | |
| L2RWBackbone=ResNet-32, Imbalance factor=2002019.02 | 33.38 |