| Benchmark | Model | Rank | Results |
|---|---|---|---|
| self-supervised-image-classification-on-imagenet | DINO-vMF (ViT-B/16) | – | Top 1 Accuracy: 78.8%Number of Params: 85M |
| self-supervised-image-classification-on-imagenet | DINO-vMF (ViT-S/16) | – | Top 1 Accuracy: 77.0%Number of Params: 21M |
| self-supervised-image-classification-on-imagenet | iBOT-vMF (ViT-B/16) | – | Top 1 Accuracy: 80.3%Number of Params: 85M |