Uniformly Distributed Category Prototype-Guided Vision-Language Framework for Long-Tail Recognition-Reference-Cited by-同舟云学术

Uniformly Distributed Category Prototype-Guided Vision-Language Framework for Long-Tail Recognition

Published:2023-10-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM International Conference on Multimedia
language:
Short-container-title:

Author:

He Xiaoxuan¹^ORCID,Fu Siming¹^ORCID,Ding Xinpeng²^ORCID,Cao Yuchen¹^ORCID,Wang Hualiang²^ORCID

Affiliation:

1. Zhejiang University, Hangzhou Shi, China

2. Hong Kong University of Science and Technology, Hong Kong, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581783.3611904

Reference48 articles.

1. Learning imbalanced datasets with label-distribution-aware margin loss;Cao Kaidi;Advances in Neural Information Processing Systems,2019

2. Feature Space Augmentation for Long-Tailed Data

3. Jiequan Cui , Shu Liu , Zhuotao Tian , Zhisheng Zhong , and Jiaya Jia . 2022 . Reslt: Residual learning for long-tailed recognition . IEEE Transactions on Pattern Analysis and Machine Intelligence ( 2022), 3695--3706. Jiequan Cui, Shu Liu, Zhuotao Tian, Zhisheng Zhong, and Jiaya Jia. 2022. Reslt: Residual learning for long-tailed recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence (2022), 3695--3706.

4. Jiequan Cui Zhisheng Zhong Shu Liu Bei Yu and Jiaya Jia. 2021. Parametric Contrastive Learning. arxiv: 2107.12028 [cs.CV] Jiequan Cui Zhisheng Zhong Shu Liu Bei Yu and Jiaya Jia. 2021. Parametric Contrastive Learning. arxiv: 2107.12028 [cs.CV]

5. Charles Elkan . 2001. The foundations of cost-sensitive learning . In International joint conference on artificial intelligence , Vol. 17 . Lawrence Erlbaum Associates Ltd , 973--978. Charles Elkan. 2001. The foundations of cost-sensitive learning. In International joint conference on artificial intelligence, Vol. 17. Lawrence Erlbaum Associates Ltd, 973--978.