Jointly Optimized Classifiers for Few-Shot Class-Incremental Learning-Reference-Cited by-同舟云学术

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Jointly Optimized Classifiers for Few-Shot Class-Incremental Learning

Published:2024 Issue: Volume: Page:1-11
ISSN:2471-285X
Container-title:IEEE Transactions on Emerging Topics in Computational Intelligence
language:
Short-container-title:IEEE Trans. Emerg. Top. Comput. Intell.

Author:

Fu Sichao¹^ORCID,Peng Qinmu¹^ORCID,Wang Xiaorui²^ORCID,He Yang²^ORCID,Qiu Wenhao¹^ORCID,Zou Bin³^ORCID,Xu Duanquan¹^ORCID,Jing Xiao-Yuan⁴^ORCID,You Xinge¹^ORCID

Affiliation:

1. School of Electronic Information and Communications, Huazhong University of Science and Technology, Wuhan, China

2. Platform Operation and Marketing Center, JD Retail, Beijing, China

3. Faculty of Mathematics and Statistics, Hubei Key Laboratory of Applied Mathematics, Hubei University, Wuhan, China

4. School of Computer Science, Wuhan University, Wuhan, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Knowledge Innovation Program of Wuhan-Shuguang

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7433297/7777658/10476618.pdf?arnumber=10476618

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