Image Classification on ImageNet 2-shot (train)
62.3AccuracyMAE-CTmin
Evaluation results
| Method | Links | |
|---|---|---|
| MAE-CTminArchitecture=ViT-H/162023.04 | 62.3 | |
| MAE-CTminArchitecture=ViT-L/162023.04 | 60.3 | |
| MAE-CTaugArchitecture=ViT-H/162023.04 | 60.2 | |
| MAE-CTaugArchitecture=ViT-L/162023.04 | 59.7 | |
| MSNArchitecture=ViT-B/162023.04 | 58.9 | |
| iBOTArchitecture=ViT-L/162023.04 | 58.2 | |
| Layer GraftingArchitecture=ViT-L/162023.04 | 57.6 | |
| iBOTArchitecture=ViT-B/162023.04 | 55.5 | |
| MSNArchitecture=ViT-L/162023.04 | 55.5 | |
| Layer GraftingArchitecture=ViT-B/162023.04 | 50.2 | |
| MAE-CTaugArchitecture=ViT-B/162023.04 | 47.9 | |
| MoCo v3Architecture=ViT-B/162023.04 | 47.7 | |
| MAE-CTminArchitecture=ViT-B/162023.04 | 38.9 | |
| MAEArchitecture=ViT-L/162023.04 | 34.9 | |
| MAEArchitecture=ViT-B/162023.04 | 27.1 | |
| MAEArchitecture=ViT-H/162023.04 | 16.4 |