| domain-generalization-on-imagenet-a | RVT-B* | #27 | Top-1 accuracy %: 28.5 |
| domain-generalization-on-imagenet-a | RVT-S* | #28 | Top-1 accuracy %: 25.7 |
| domain-generalization-on-imagenet-a | RVT-Ti* | #29 | Top-1 accuracy %: 14.4 |
| domain-generalization-on-imagenet-c | RVT-B* | #24 | mean Corruption Error (mCE): 46.8 |
| domain-generalization-on-imagenet-c | RVT-S* | #26 | mean Corruption Error (mCE): 49.4 |
| domain-generalization-on-imagenet-c | RVT-Ti* | #33 | mean Corruption Error (mCE): 57.0 |
| domain-generalization-on-imagenet-r | RVT-B* | #25 | Top-1 Error Rate: 51.3 |
| domain-generalization-on-imagenet-r | RVT-S* | #27 | Top-1 Error Rate: 52.3 |
| domain-generalization-on-imagenet-r | RVT-Ti* | #30 | Top-1 Error Rate: 56.1 |
| image-classification-on-imagenet | RVT-B* | #493 | Top 1 Accuracy: 82.7%Number of params: 91.8MGFLOPs: 17.7 |
| image-classification-on-imagenet | RVT-S* | #575 | Top 1 Accuracy: 81.9%Number of params: 23.3MGFLOPs: 4.7 |
| image-classification-on-imagenet | RVT-Ti* | #729 | Top 1 Accuracy: 79.2%Number of params: 10.9MGFLOPs: 1.3 |