Image Classification on ImageNet 1% (train)
75AccuracyMAE-CTmin
Evaluation results
| Method | Links | |
|---|---|---|
| MAE-CTminArchitecture=ViT-H/162023.04 | 75 | |
| MAE-CTaugArchitecture=ViT-H/162023.04 | 75 | |
| MAE-CTaugArchitecture=ViT-L/162023.04 | 74.2 | |
| iBOTArchitecture=ViT-L/162023.04 | 73.3 | |
| MAE-CTminArchitecture=ViT-L/162023.04 | 72.6 | |
| iBOTArchitecture=ViT-B/162023.04 | 71 | |
| MAEArchitecture=ViT-H/162023.04 | 70 | |
| MSNArchitecture=ViT-B/162023.04 | 69.5 | |
| Layer GraftingArchitecture=ViT-L/162023.04 | 69.3 | |
| MAEArchitecture=ViT-L/162023.04 | 67.7 | |
| MSNArchitecture=ViT-L/162023.04 | 67 | |
| Layer GraftingArchitecture=ViT-B/162023.04 | 65.5 | |
| MoCo v3Architecture=ViT-B/162023.04 | 63.4 | |
| MAE-CTaugArchitecture=ViT-B/162023.04 | 63.3 | |
| MAE-CTminArchitecture=ViT-B/162023.04 | 56.6 | |
| MAEArchitecture=ViT-B/162023.04 | 54.2 |