Image Classification on ImageNet 10% labels 1k (train val)
76Top-1 AccuracyDINO
Evaluation Results
| Method | Links | |
|---|---|---|
| DINOarch.=ViT-B/16, params=85M, Training Protocol=Semi-supervised2024.08 | 76 | |
| BAMarch.=ViT-B/16, params=85M, Training Protocol=Semi-supervised2024.08 | 75.9 | |
| MoCoV3arch.=ViT-B/16, params=85M, Training Protocol=Semi-supervised2024.08 | 74.5 | |
| DINOarch.=ViT-S/16, params=21M, Training Protocol=Semi-supervised2024.08 | 73.9 | |
| MAEarch.=ViT-B/16, params=85M, Training Protocol=Semi-supervised2024.08 | 73.7 | |
| BAMarch.=ViT-S/16, params=21M, Training Protocol=Semi-supervised2024.08 | 73.2 | |
| MoCoV3arch.=ViT-S/16, params=21M, Training Protocol=Semi-supervised2024.08 | 58.7 |