Image Classification on CIFAR-10-LT IF 10 (test)
91.2Top-1 AccuracyLCReg
Evaluation results
| Method | Links | ||
|---|---|---|---|
| LCRegBackbone=ResNet-322022.06 | 91.2 | — | |
| MiSLASBackbone=ResNet-322021.04 | 90 | 1.2 | |
| MISLASBackbone=ResNet-322022.06 | 90 | — | |
| cRT+mixupBackbone=ResNet-322021.04 | 89.8 | 3.92 | |
| LWS+mixupBackbone=ResNet-322021.04 | 89.6 | 5.41 | |
| MetaSAug CEBackbone=ResNet-322022.06 | 89.4 | — | |
| Remix+DRW (300 epochs)Backbone=ResNet-322021.04 | 89.1 | — | |
| Remix+DRWBackbone=ResNet-322022.06 | 89.1 | — | |
| LDAM+DRWBackbone=ResNet-322021.04 | 88.4 | — | |
| BBN(include mixup)Backbone=ResNet-322021.04 | 88.4 | — | |
| LDAM+DRWBackbone=ResNet-322022.06 | 88.4 | — | |
| BBN(include mixup)Backbone=ResNet-322022.06 | 88.4 | — | |
| mixupBackbone=ResNet-322021.04 | 87.1 | — | |
| mixupBackbone=ResNet-322022.06 | 87.1 | — | |
| CEBackbone=ResNet-322021.04 | 86.4 | — | |
| CEBackbone=ResNet-322022.06 | 86.4 | — |