| image-classification-on-imagenet | NAT-Base | #321 | Top 1 Accuracy: 84.3%Number of params: 90MGFLOPs: 13.7 |
| image-classification-on-imagenet | NAT-Small | #384 | Top 1 Accuracy: 83.7%Number of params: 51MGFLOPs: 7.8 |
| image-classification-on-imagenet | NAT-Tiny | #444 | Top 1 Accuracy: 83.2%Number of params: 28MGFLOPs: 4.3 |
| image-classification-on-imagenet | NAT-Mini | #587 | Top 1 Accuracy: 81.8%Number of params: 20MGFLOPs: 2.7 |
| semantic-segmentation-on-ade20k | NAT-Base | #124 | Validation mIoU: 49.7Params (M): 123GFLOPs (512 x 512): 1137 |
| semantic-segmentation-on-ade20k | NAT-Small | #128 | Validation mIoU: 49.5Params (M): 82GFLOPs (512 x 512): 1010 |
| semantic-segmentation-on-ade20k | NAT-Tiny | #143 | Validation mIoU: 48.4Params (M): 58GFLOPs (512 x 512): 934 |
| semantic-segmentation-on-ade20k | NAT-Mini | #171 | Validation mIoU: 46.4Params (M): 50GFLOPs (512 x 512): 900 |