| Benchmark | Model | Rank | Results |
|---|---|---|---|
| image-classification-on-imagenet | CSWin-L (384 res,ImageNet-22k pretrain) | #80 | Top 1 Accuracy: 87.5%Number of params: 173MGFLOPs: 96.8 |
| semantic-segmentation-on-ade20k | CSWin-L (UperNet, ImageNet-22k pretrain) | #43 | Validation mIoU: 55.70 |
| semantic-segmentation-on-ade20k-val | CSWin-L (UperNet, ImageNet-22k pretrain) | #26 | mIoU: 55.7 |