| Benchmark | Model | Rank | Results |
|---|---|---|---|
| image-classification-on-imagenet | Twins-SVT-L | #381 | Top 1 Accuracy: 83.7%Number of params: 99.2MGFLOPs: 15.1 |
| semantic-segmentation-on-ade20k | Twins-SVT-L (UperNet, ImageNet-1k pretrain) | #114 | Validation mIoU: 50.2 |
| semantic-segmentation-on-ade20k-val | Twins-SVT-L (UperNet, ImageNet-1k pretrain) | #51 | mIoU: 50.2 |