More task-balanced Class-Incremental Learning-Reference-Cited by-同舟云学术

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More task-balanced Class-Incremental Learning

Published:2023-08-27 Issue: Volume:30 Page:1275-1280
ISSN:
Container-title:2023 38th Youth Academic Annual Conference of Chinese Association of Automation (YAC)
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Author:

Chen Junzhi¹,Wang Tian²,Liu Deyuan¹,Wang Jian³,Fu Yao⁴,Soussi Hichem⁵

Affiliation:

1. Beihang University,School of Automation Science and Electrical Engineering,Beijing,China,100191

2. Beihang University; Zhongguancun Laboratory,Institute of Artificial Intelligence, SKLSDE,Beijing,China,100191

3. Wuhan University,School of Computer Science,Wuhan,China,430072

4. Chinese Academy of Sciences,Changchun Institute of Optics, Fine Mechanics and Physics,Changchun,China,130033

5. University of Technology of Troyes,Laboratory of Computer Science and Digital Society,Troyes,France

Funder

National Natural Science Foundation of China

Beijing Nova Program

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10401265/10401324/10401526.pdf?arnumber=10401526

Reference16 articles.

1. Learning transferable visual models from natural language supervision;Radford

2. Class-Incremental Learning: Survey and Performance Evaluation on Image Classification

3. Three scenarios for continual learning;Van de Ven,2019

4. Prototype Augmentation and Self-Supervision for Incremental Learning

5. Overcoming catastrophic forgetting in neural networks

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