Enhanced Long-Tailed Recognition With Contrastive CutMix Augmentation-Reference-Cited by-同舟云学术

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Enhanced Long-Tailed Recognition With Contrastive CutMix Augmentation

Published:2024 Issue: Volume:33 Page:4215-4230
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Pan Haolin¹^ORCID,Guo Yong²^ORCID,Yu Mianjie³^ORCID,Chen Jian¹^ORCID

Affiliation:

1. School of Software Engineering, South China University of Technology (SCUT), Guangzhou, China

2. Max Planck Institute for Informatics (MPI-INF), Saarbrücken, Germany

3. Faculty of Science and Technology, University of Macau (UM), Macau, SAR, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/83/10346232/10599153.pdf?arnumber=10599153

Reference74 articles.

1. Remix: Rebalanced Mixup

2. DBN-Mix: Training dual branch network using bilateral mixup augmentation for long-tailed visual recognition

3. Towards calibrated model for long-tailed visual recognition from prior perspective;Xu

4. Improving Tail-Class Representation with Centroid Contrastive Learning

5. Large-Scale Object Detection in the Wild From Imbalanced Multi-Labels

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