Balanced contrastive learning for long-tailed visual recognition

J Zhu, Z Wang, J Chen, YPP Chen… - Proceedings of the …, 2022 - openaccess.thecvf.com
Real-world data typically follow a long-tailed distribution, where a few majority categories
occupy most of the data while most minority categories contain a limited number of samples …
被引用次数：143 相关文章

Balanced Contrastive Learning for Long-Tailed Visual Recognition

J Zhu, Z Wang, J Chen, YP Phoebe Chen… - arXiv e …, 2022 - ui.adsabs.harvard.edu
Real-world data typically follow a long-tailed distribution, where a few majority categories
occupy most of the data while most minority categories contain a limited number of samples …

Balanced Contrastive Learning for Long-Tailed Visual Recognition

J Zhu, Z Wang, J Chen, YPP Chen, YG Jiang - arXiv preprint arXiv …, 2022 - arxiv.org
Real-world data typically follow a long-tailed distribution, where a few majority categories
occupy most of the data while most minority categories contain a limited number of samples …

Balanced Contrastive Learning for Long-Tailed Visual Recognition

J Zhu, Z Wang, J Chen, YPP Chen… - 2022 IEEE/CVF …, 2022 - ieeexplore.ieee.org
Real-world data typically follow a long-tailed distribution, where a few majority categories
occupy most of the data while most minority categories contain a limited number of samples …

Balanced Contrastive Learning for Long-Tailed Visual Recognition

J Zhu, Z Wang, J Chen, YPP Chen… - 2022 IEEE/CVF …, 2022 - computer.org
Real-world data typically follow a long-tailed distribution, where a few majority categories
occupy most of the data while most minority categories contain a limited number of samples …