Large-batch Optimization for Dense Visual Predictions: Training Faster R-CNN in 4.2 Minutes

Zeyue Xue, Jianming Liang, Guanglu Song, Zhuofan Zong, Liang Chen, Yu Liu, Ping Luo. Large-batch Optimization for Dense Visual Predictions: Training Faster R-CNN in 4.2 Minutes. 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{XueLSZCLL22,
  title = {Large-batch Optimization for Dense Visual Predictions: Training Faster R-CNN in 4.2 Minutes},
  author = {Zeyue Xue and Jianming Liang and Guanglu Song and Zhuofan Zong and Liang Chen and Yu Liu and Ping Luo},
  year = {2022},
  url = {http://papers.nips.cc/paper_files/paper/2022/hash/76bea0a1cf7bf9b78f842009f6de15a1-Abstract-Conference.html},
  researchr = {https://researchr.org/publication/XueLSZCLL22},
  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},
}