AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition

Shoufa Chen, Chongjian Ge, Zhan Tong, Jiangliu Wang, Yibing Song, Jue Wang, Ping Luo. AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition. In Sanmi Koyejo, S. Mohamed, A. Agarwal, Danielle Belgrave, K. Cho, A. Oh, editors, Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022. 2022. [doi]

@inproceedings{ChenGTWSWL22,
  title = {AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition},
  author = {Shoufa Chen and Chongjian Ge and Zhan Tong and Jiangliu Wang and Yibing Song and Jue Wang and Ping Luo},
  year = {2022},
  url = {http://papers.nips.cc/paper_files/paper/2022/hash/69e2f49ab0837b71b0e0cb7c555990f8-Abstract-Conference.html},
  researchr = {https://researchr.org/publication/ChenGTWSWL22},
  cites = {0},
  citedby = {0},
  booktitle = {Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, NeurIPS 2022, New Orleans, LA, USA, November 28 - December 9, 2022},
  editor = {Sanmi Koyejo and S. Mohamed and A. Agarwal and Danielle Belgrave and K. Cho and A. Oh},
  isbn = {9781713871088},
}