| Benchmark | Model | Rank | Results |
|---|---|---|---|
| self-supervised-image-classification-on-imagenet-finetuned | SimMIM (SwinV2-H, 512) | #10 | Top 1 Accuracy: 87.1%Number of Params: 658M |
| self-supervised-image-classification-on-imagenet-finetuned | SimMIM (Swin-L) | #23 | Top 1 Accuracy: 85.4%Number of Params: 197M |
| self-supervised-image-classification-on-imagenet-finetuned | SimMIM (Swin-B) | #39 | Top 1 Accuracy: 84.0%Number of Params: 88M |
| self-supervised-image-classification-on-imagenet-finetuned | SimMIM (ViT-B/16) | #43 | Top 1 Accuracy: 83.8%Number of Params: 85M |