Image Classification on CIFAR100 LT (r=100)
53.2Top-1 AccuracyOurs
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| OursBackbone=ResNet-322026.03 | 53.2 | 67.3 | 54.9 | 34.9 | |
| FeatReconBackbone=ResNet-322026.03 | 52.5 | — | — | — | |
| GBGBackbone=ResNet-322026.03 | 52.3 | — | — | — | |
| SELBackbone=ResNet-322026.03 | 52.3 | — | — | — | |
| Meta-CALABackbone=ResNet-322026.03 | 52.3 | — | — | — | |
| BCLBackbone=ResNet-322026.03 | 51.9 | 67.2 | 53.1 | 32.9 | |
| DiffuLT + BBNBackbone=ResNet-322026.03 | 51.9 | 69.5 | 51.9 | 30.2 | |
| DiffuLTBackbone=ResNet-322026.03 | 51.5 | 69 | 51.6 | 29.7 | |
| LLM-AutoDA†Backbone=ResNet-322026.03 | 51 | 66.6 | 50.6 | 33.1 | |
| Heuristic-CALABackbone=ResNet-322026.03 | 50.5 | — | — | — | |
| H2TBackbone=ResNet-322026.03 | 48.9 | — | — | — | |
| RIDE (3 experts)Backbone=ResNet-32, Experts=32026.03 | 48 | 68.1 | 49.2 | 23.9 | |
| CUDABackbone=ResNet-322026.03 | 47.6 | 67.3 | 50.4 | 21.4 | |
| ADRWBackbone=ResNet-322026.03 | 46.4 | — | — | — | |
| DiVEBackbone=ResNet-322026.03 | 45.4 | — | — | — | |
| SAMBackbone=ResNet-322026.03 | 45.4 | 64.4 | 46.2 | 20.8 | |
| BBNBackbone=ResNet-322026.03 | 42.6 | — | — | — | |
| cRTBackbone=ResNet-322026.03 | 42.3 | 64 | 44.8 | 18.1 | |
| LDAM-DRWBackbone=ResNet-322026.03 | 42 | 61.5 | 41.7 | 20.2 | |
| CAM-BSBackbone=ResNet-322026.03 | 41.7 | — | — | — | |
| Focal LossBackbone=ResNet-322026.03 | 38.4 | 65.3 | 38.4 | 8.1 | |
| CEBackbone=ResNet-322026.03 | 38.3 | 65.2 | 37.1 | 9.1 |