swinv2

SwinV2

Swin Transformer V2: Scaling Up Capacity and Resolution

Notice

• Since the authors have not published the code for SwinV2 detection, our implementation is based on SwinV1 detection and SwinV2 classification.
• We have not confirmed the reproduction of the paper results.
• Please check for updates of the official repositories and mmcls.

Citation

@inproceedings{liu2021swinv2,
  title={Swin Transformer V2: Scaling Up Capacity and Resolution},
  author={Ze Liu and Han Hu and Yutong Lin and Zhuliang Yao and Zhenda Xie and Yixuan Wei and Jia Ning and Yue Cao and Zheng Zhang and Li Dong and Furu Wei and Baining Guo},
  booktitle={International Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2022}
}