| Benchmark | Model | Rank | Results |
|---|---|---|---|
| image-classification-on-imagenet | CAS-ViT-T | #348 | Top 1 Accuracy: 84.1%Number of params: 21.76MGFLOPs: 3.597 |
| image-classification-on-imagenet | CAS-ViT-M | #467 | Top 1 Accuracy: 83.0%Number of params: 12.42MGFLOPs: 1.887 |
| image-classification-on-imagenet | CAS-ViT-S | #639 | Top 1 Accuracy: 81.1%Number of params: 5.76MGFLOPs: 0.932 |
| image-classification-on-imagenet | CAS-ViT-XS | #768 | Top 1 Accuracy: 78.7%Number of params: 3.2MGFLOPs: 0.56 |