Improving tail-class representation with centroid contrastive learning

Improving tail-class representation with centroid contrastive learning

In vision domain, large-scale natural datasets typically exhibit long-tailed distribution which has large class imbalance between head and tail classes. This distribution poses difficulty in learning good representations for tail classes. Recent developments have shown good long-tailed model can be...

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書目詳細資料
Main Authors:	Tiong, Anthony Meng Huat, Li, Junnan, Lin, Guosheng, Li, Boyang, Xiong, Caiming, Hoi, Steven C. H.
其他作者:	School of Computer Science and Engineering
格式:	Article
語言:	English
出版:	2023
主題:	Engineering::Computer science and engineering Imbalanced Learning Contrastive Learning
在線閱讀:	https://hdl.handle.net/10356/172214
標簽:	添加標簽沒有標簽, 成為第一個標記此記錄!

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