BMU-MoCo: Bidirectional Momentum Update for Continual Video-Language Modeling

Yizhao Gao, Nanyi Fei, Haoyu Lu, Zhiwu Lu 0001, Hao Jiang, Yijie Li, Zhao Cao. BMU-MoCo: Bidirectional Momentum Update for Continual Video-Language Modeling. 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{GaoFL0JLC22,
  title = {BMU-MoCo: Bidirectional Momentum Update for Continual Video-Language Modeling},
  author = {Yizhao Gao and Nanyi Fei and Haoyu Lu and Zhiwu Lu 0001 and Hao Jiang and Yijie Li and Zhao Cao},
  year = {2022},
  url = {http://papers.nips.cc/paper_files/paper/2022/hash/8ec61d4084443d29c9e47ac60f9aea31-Abstract-Conference.html},
  researchr = {https://researchr.org/publication/GaoFL0JLC22},
  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},
}