Image Classification on ImageNet 1% labels 1k (train val)
66.8Top-1 AccuracyBAM
Evaluation Results
| Method | Links | |
|---|---|---|
| BAMarch.=ViT-B/16, params=85M, Training Protocol=Semi-supervised2024.08 | 66.8 | |
| MoCoV3arch.=ViT-B/16, params=85M, Training Protocol=Semi-supervised2024.08 | 66.3 | |
| DINOarch.=ViT-B/16, params=85M, Training Protocol=Semi-supervised2024.08 | 65 | |
| BAMarch.=ViT-S/16, params=21M, Training Protocol=Semi-supervised2024.08 | 60 | |
| DINOarch.=ViT-S/16, params=21M, Training Protocol=Semi-supervised2024.08 | 58.7 | |
| MAEarch.=ViT-B/16, params=85M, Training Protocol=Semi-supervised2024.08 | 57.4 | |
| MoCoV3arch.=ViT-S/16, params=21M, Training Protocol=Semi-supervised2024.08 | 51.2 |