Visual-Textual Attribute Learning for Class-Incremental Facial Expression Recognition-Reference-Cited by-同舟云学术

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Visual-Textual Attribute Learning for Class-Incremental Facial Expression Recognition

Published:2024 Issue: Volume:26 Page:8038-8051
ISSN:1520-9210
Container-title:IEEE Transactions on Multimedia
language:
Short-container-title:IEEE Trans. Multimedia

Author:

Lv Yuanling¹,Huang Guangyu¹^ORCID,Yan Yan¹^ORCID,Xue Jing-Hao²^ORCID,Chen Si³^ORCID,Wang Hanzi¹^ORCID

Affiliation:

1. Fujian Key Laboratory of Sensing and Computing for Smart City, School of Informatics, Xiamen University, Xiamen, China

2. Department of Statistical Science, University College London, London, U.K.

3. School of Computer and Information Engineering, Xiamen University of Technology, Xiamen, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/6046/10384483/10462532.pdf?arnumber=10462532

Reference56 articles.

1. Joint Deep Learning of Facial Expression Synthesis and Recognition

2. Suppressing Uncertainties for Large-Scale Facial Expression Recognition

3. Feature Decomposition and Reconstruction Learning for Effective Facial Expression Recognition

4. Face2Exp: Combating Data Biases for Facial Expression Recognition

5. Identity-aware Facial Expression Recognition via Deep Metric Learning based on Synthesized Images

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