Image Classification on CIFAR-100 long-tailed (rho=100) (test)
55.6AccuracyDeiT-LT
Evaluation results
| Method | Links | |
|---|---|---|
| DeiT-LTBackbone=ViT-B, Teacher=PaCo+SAM2024.04 | 55.6 | |
| PaCo+SAMBackbone=ResNet322024.04 | 52.8 | |
| DeiT-LTBackbone=ViT-B, Teacher=L-D-SAM2024.04 | 52 | |
| ACEBackbone=ResNet322024.04 | 49.6 | |
| RIDEBackbone=ResNet322024.04 | 49.1 | |
| GCLBackbone=ResNet322024.04 | 48.7 | |
| CAMBackbone=ResNet322024.04 | 47.8 | |
| MISLASBackbone=ResNet322024.04 | 47 | |
| Hybrid-SCBackbone=ResNet322024.04 | 46.7 | |
| VS+SAMBackbone=ResNet322024.04 | 46.6 | |
| SSDBackbone=ResNet322024.04 | 46 | |
| L-D-SAMBackbone=ResNet322024.04 | 45.4 | |
| LDAM+DAPBackbone=ResNet322024.04 | 44.1 | |
| Log. Adj.Backbone=ResNet322024.04 | 43.9 | |
| LDAM+DRWBackbone=ResNet322024.04 | 42 | |
| VSBackbone=ResNet322024.04 | 41.7 | |
| BBNBackbone=ResNet322024.04 | 39.4 | |
| ViT (cRT)Backbone=ViT-B2024.04 | 38.9 | |
| CB Focal lossBackbone=ResNet322024.04 | 38.3 | |
| DeiT-IIIBackbone=ViT-B2024.04 | 38.1 | |
| ViTBackbone=ViT-B2024.04 | 35 | |
| DeiTBackbone=ViT-B2024.04 | 31.3 |