Twin Contrastive Learning with Noisy Labels-Reference-Cited by-同舟云学术

Twin Contrastive Learning with Noisy Labels

Published:2023-06 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
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Author:

Huang Zhizhong¹,Zhang Junping¹,Shan Hongming²

Affiliation:

1. School of Computer Science, Fudan University,Shanghai Key Lab of Intelligent Information Processing,Shanghai,China,200433

2. Institute of Science and Technology for Brain-inspired Intelligence and MOE Frontiers Center for Brain Science, Fudan University,Shanghai,China,200433

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10203037/10203050/10203735.pdf?arnumber=10203735

Reference48 articles.

1. Deep Residual Learning for Image Recognition

2. Learning From Noisy Labels by Regularized Estimation of Annotator Confusion

3. Momentum Contrast for Unsupervised Visual Representation Learning

4. Joint Optimization Framework for Learning with Noisy Labels

5. Beyond synthetic noise: Deep learning on controlled noisy labels;jiang;In International Conference on Machine Learning,0

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