All Tokens Matter: Token Labeling for Training Better Vision Transformers

Zihang Jiang, Qibin Hou, Li Yuan 0007, Daquan Zhou, Yujun Shi, Xiaojie Jin, Anran Wang, Jiashi Feng. All Tokens Matter: Token Labeling for Training Better Vision Transformers. In Marc'Aurelio Ranzato, Alina Beygelzimer, Yann N. Dauphin, Percy Liang, Jennifer Wortman Vaughan, editors, Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual. pages 18590-18602, 2021. [doi]

@inproceedings{JiangHYZSJWF21,
  title = {All Tokens Matter: Token Labeling for Training Better Vision Transformers},
  author = {Zihang Jiang and Qibin Hou and Li Yuan 0007 and Daquan Zhou and Yujun Shi and Xiaojie Jin and Anran Wang and Jiashi Feng},
  year = {2021},
  url = {https://proceedings.neurips.cc/paper/2021/hash/9a49a25d845a483fae4be7e341368e36-Abstract.html},
  researchr = {https://researchr.org/publication/JiangHYZSJWF21},
  cites = {0},
  citedby = {0},
  pages = {18590-18602},
  booktitle = {Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, NeurIPS 2021, December 6-14, 2021, virtual},
  editor = {Marc'Aurelio Ranzato and Alina Beygelzimer and Yann N. Dauphin and Percy Liang and Jennifer Wortman Vaughan},
}