ConvNets vs. Transformers: Whose Visual Representations are More Transferable?

Hong-Yu Zhou, Chixiang Lu, Sibei Yang, Yizhou Yu. ConvNets vs. Transformers: Whose Visual Representations are More Transferable?. In IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2021, Montreal, BC, Canada, October 11-17, 2021. pages 2230-2238, IEEE, 2021. [doi]

@inproceedings{ZhouLYY21,
  title = {ConvNets vs. Transformers: Whose Visual Representations are More Transferable?},
  author = {Hong-Yu Zhou and Chixiang Lu and Sibei Yang and Yizhou Yu},
  year = {2021},
  doi = {10.1109/ICCVW54120.2021.00252},
  url = {https://doi.org/10.1109/ICCVW54120.2021.00252},
  researchr = {https://researchr.org/publication/ZhouLYY21},
  cites = {0},
  citedby = {0},
  pages = {2230-2238},
  booktitle = {IEEE/CVF International Conference on Computer Vision Workshops, ICCVW 2021, Montreal, BC, Canada, October 11-17, 2021},
  publisher = {IEEE},
  isbn = {978-1-6654-0191-3},
}