BBN: Bilateral-Branch Network With Cumulative Learning for Long-Tailed Visual Recognition

@article{Zhou2019BBNBN,
  title={BBN: Bilateral-Branch Network With Cumulative Learning for Long-Tailed Visual Recognition},
  author={Boyan Zhou and Quan Cui and Xiu-Shen Wei and Zhao-Min Chen},
  journal={2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
  year={2019},
  pages={9716-9725}
}
  • Boyan ZhouQuan Cui Zhao-Min Chen
  • Published 5 December 2019
  • Computer Science
  • 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Our work focuses on tackling the challenging but natural visual recognition task of long-tailed data distribution (i.e., a few classes occupy most of the data, while most classes have rarely few samples). In the literature, class re-balancing strategies (e.g., re-weighting and re-sampling) are the prominent and effective methods proposed to alleviate the extreme imbalance for dealing with long-tailed problems. In this paper, we firstly discover that these re-balancing methods achieving… 

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