Chaoning Zhang, Kang Zhang, Trung X. Pham, Axi Niu, Zhinan Qiao, Chang D. Yoo, In-So Kweon. Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo. In IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022. pages 14421-14430, IEEE, 2022. [doi]
@inproceedings{ZhangZPNQYK22,
title = {Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo},
author = {Chaoning Zhang and Kang Zhang and Trung X. Pham and Axi Niu and Zhinan Qiao and Chang D. Yoo and In-So Kweon},
year = {2022},
doi = {10.1109/CVPR52688.2022.01404},
url = {https://doi.org/10.1109/CVPR52688.2022.01404},
researchr = {https://researchr.org/publication/ZhangZPNQYK22},
cites = {0},
citedby = {0},
pages = {14421-14430},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022},
publisher = {IEEE},
isbn = {978-1-6654-6946-3},
}