Fine-Grained Classification with Noisy Labels
Author:
Affiliation:
1. School of Software, Shandong University,China
2. School of Computer Science and Engineering, Nanyang Technological University,Singapore
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10203037/10203050/10205042.pdf?arnumber=10205042
Reference61 articles.
1. Not All Parameters Should Be Treated Equally: Deep Safe Semi-supervised Learning under Class Distribution Mismatch
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4. Learning to Purify Noisy Labels via Meta Soft Label Corrector
5. Supervised contrastive learning;khosla;NeurIPS,2020
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