Image Classification on ImageNet 5-shot (train)
68.9AccuracyMAE-CTmin
Evaluation results
| Method | Links | |
|---|---|---|
| MAE-CTminArchitecture=ViT-H/162023.04 | 68.9 | |
| MAE-CTaugArchitecture=ViT-H/162023.04 | 67.7 | |
| MAE-CTaugArchitecture=ViT-L/162023.04 | 66.9 | |
| MAE-CTminArchitecture=ViT-L/162023.04 | 66.7 | |
| iBOTArchitecture=ViT-L/162023.04 | 66.5 | |
| MSNArchitecture=ViT-B/162023.04 | 65.5 | |
| Layer GraftingArchitecture=ViT-L/162023.04 | 65.3 | |
| iBOTArchitecture=ViT-B/162023.04 | 64.3 | |
| MSNArchitecture=ViT-L/162023.04 | 62.5 | |
| Layer GraftingArchitecture=ViT-B/162023.04 | 59.3 | |
| MoCo v3Architecture=ViT-B/162023.04 | 57.3 | |
| MAE-CTaugArchitecture=ViT-B/162023.04 | 57.3 | |
| MAEArchitecture=ViT-L/162023.04 | 56.9 | |
| MAEArchitecture=ViT-H/162023.04 | 55.2 | |
| MAE-CTminArchitecture=ViT-B/162023.04 | 47.8 | |
| MAEArchitecture=ViT-B/162023.04 | 43.1 |