Image Classification on ImageNet 10% labels (val)
84.3Top-1 AccSemi-ViT
Evaluation Results
| Method | Links | |
|---|---|---|
| Semi-ViTModel=ViT-Huge, Parameters=632M, Pre-training=MAE [24]2022.08 | 84.3 | |
| Semi-ViTModel=ViT-Large, Parameters=307M, Pre-training=MAE [24]2022.08 | 83.3 | |
| Fine-tuningModel=ViT-Huge, Parameters=632M, Pre-training=MAE [24]2022.08 | 81.4 | |
| Semi-ViTModel=ViT-Base, Parameters=86M, Pre-training=MAE [24]2022.08 | 79.7 | |
| Fine-tuningModel=ViT-Large, Parameters=307M, Pre-training=MAE [24]2022.08 | 79.2 | |
| Fine-tuningModel=ViT-Base, Parameters=86M, Pre-training=MAE [24]2022.08 | 73.7 |