Image Classification on ImageNet 10% (train)
81.2AccuracyMAE-CTmin
Evaluation Results
| Method | Links | |
|---|---|---|
| MAE-CTminArchitecture=ViT-H/162023.04 | 81.2 | |
| MAE-CTaugArchitecture=ViT-H/162023.04 | 81 | |
| MAEArchitecture=ViT-H/162023.04 | 80.8 | |
| MAE-CTaugArchitecture=ViT-L/162023.04 | 80.4 | |
| Layer GraftingArchitecture=ViT-L/162023.04 | 80.1 | |
| MAE-CTminArchitecture=ViT-L/162023.04 | 79.7 | |
| MAEArchitecture=ViT-L/162023.04 | 79.3 | |
| iBOTArchitecture=ViT-L/162023.04 | 79 | |
| Layer GraftingArchitecture=ViT-B/162023.04 | 77.8 | |
| iBOTArchitecture=ViT-B/162023.04 | 77.4 | |
| MSNArchitecture=ViT-B/162023.04 | 75.5 | |
| MoCo v3Architecture=ViT-B/162023.04 | 74.7 | |
| MAE-CTaugArchitecture=ViT-B/162023.04 | 74.6 | |
| MAEArchitecture=ViT-B/162023.04 | 73.4 | |
| MAE-CTminArchitecture=ViT-B/162023.04 | 73.3 | |
| MSNArchitecture=ViT-L/162023.04 | 71.4 |