Image Classification on ImageNet 1-shot (train)
53.1AccuracyMAE-CTmin
Evaluation results
| Method | Links | |
|---|---|---|
| MAE-CTminArchitecture=ViT-H/162023.04 | 53.1 | |
| MAE-CTminArchitecture=ViT-L/162023.04 | 51.8 | |
| MSNArchitecture=ViT-B/162023.04 | 50.3 | |
| MAE-CTaugArchitecture=ViT-H/162023.04 | 50.1 | |
| MAE-CTaugArchitecture=ViT-L/162023.04 | 49.6 | |
| iBOTArchitecture=ViT-L/162023.04 | 48.5 | |
| Layer GraftingArchitecture=ViT-L/162023.04 | 47.8 | |
| MSNArchitecture=ViT-L/162023.04 | 47.5 | |
| iBOTArchitecture=ViT-B/162023.04 | 45.3 | |
| Layer GraftingArchitecture=ViT-B/162023.04 | 40 | |
| MAE-CTaugArchitecture=ViT-B/162023.04 | 37.5 | |
| MoCo v3Architecture=ViT-B/162023.04 | 37.4 | |
| MAE-CTminArchitecture=ViT-B/162023.04 | 31.1 | |
| MAEArchitecture=ViT-L/162023.04 | 14.3 | |
| MAEArchitecture=ViT-B/162023.04 | 14 | |
| MAEArchitecture=ViT-H/162023.04 | 9 |