Image Classification on ImageNet-Rendition (IN-R) (val)
92.5Top-1 AccEVA CLIP-g
Evaluation Results
| Method | Links | |
|---|---|---|
| EVA CLIP-gzero-shot evaluation protocol=True2022.11 | 92.5 | |
| ALIGNzero-shot evaluation protocol=True2022.11 | 92.2 | |
| Open CLIP-Hzero-shot evaluation protocol=True2022.11 | 89.3 | |
| Open CLIP-gzero-shot evaluation protocol=True2022.11 | 88.7 | |
| OpenAI CLIP-Lzero-shot evaluation protocol=True2022.11 | 87.8 | |
| MAEModel=ViT-H, Resolution=448, Training Objective=MAE pre-training2021.11 | 66.5 | |
| MAEModel=ViT-H, Resolution=224, Training Objective=MAE pre-training2021.11 | 64.4 | |
| MAEModel=ViT-L, Resolution=224, Training Objective=MAE pre-training2021.11 | 59.9 | |
| Supervised BaselineModel=ViT-L, Resolution=224, Training Objective=Supervised2021.11 | 50.9 | |
| Supervised BaselineModel=ViT-H, Resolution=224, Training Objective=Supervised2021.11 | 50.3 | |
| Supervised BaselineModel=ViT-B, Resolution=224, Training Objective=Supervised2021.11 | 49.4 | |
| Noisy StudentNotes=Previous Best2021.11 | 48.7 | |
| MAEModel=ViT-B, Resolution=224, Training Objective=MAE pre-training2021.11 | 48.3 | |
| Patch-base NSalpha=2, base_method=MoCo-v22021.10 | 28.95 | |
| MoCo-v22021.10 | 27.81 | |
| MoCHibase_method=MoCo-v22021.10 | 25.71 |