| Benchmark | Model | Rank | Results |
|---|---|---|---|
| image-classification-on-imagenet | SE-CoTNetD-152 | #324 | Top 1 Accuracy: 84.6%Number of params: 55.8MGFLOPs: 26.5 |
| image-classification-on-imagenet | SE-CoTNetD-101 | #485 | Top 1 Accuracy: 83.2%Number of params: 40.9MGFLOPs: 8.5 |
| image-classification-on-imagenet | SE-CoTNetD-50 | #661 | Top 1 Accuracy: 81.6%Number of params: 23.1MGFLOPs: 4.1 |