| image-classification-on-imagenet | NFNet-F4+ | #22 | Top 1 Accuracy: 89.2%Number of params: 527MGFLOPs: 367 |
| image-classification-on-imagenet | NFNet-F6 w/ SAM | #133 | Top 1 Accuracy: 86.5%Number of params: 438.4MGFLOPs: 377.28 |
| image-classification-on-imagenet | NFNet-F5 w/ SAM | #150 | Top 1 Accuracy: 86.3%Number of params: 377.2MGFLOPs: 289.76 |
| image-classification-on-imagenet | NFNet-F5 | #172 | Top 1 Accuracy: 86.0%Number of params: 377.2MGFLOPs: 289.76 |
| image-classification-on-imagenet | NFNet-F4 | #181 | Top 1 Accuracy: 85.9%Number of params: 316.1MGFLOPs: 215.24 |
| image-classification-on-imagenet | NFNet-F3 | #200 | Top 1 Accuracy: 85.7%Number of params: 254.9MGFLOPs: 114.76 |
| image-classification-on-imagenet | NFNet-F2 | #249 | Top 1 Accuracy: 85.1%Number of params: 193.8MGFLOPs: 62.59 |
| image-classification-on-imagenet | NFNet-F1 | #288 | Top 1 Accuracy: 84.7%Number of params: 132.6MGFLOPs: 35.54 |
| image-classification-on-imagenet | NFNet-F0 | #398 | Top 1 Accuracy: 83.6%Number of params: 71.5MGFLOPs: 12.38 |