MVEB: Self-Supervised Learning With Multi-View Entropy Bottleneck-Reference-Cited by-同舟云学术

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MVEB: Self-Supervised Learning With Multi-View Entropy Bottleneck

Published:2024-09 Issue:9 Volume:46 Page:6097-6108
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Wen Liangjian¹^ORCID,Wang Xiasi²^ORCID,Liu Jianzhuang³^ORCID,Xu Zenglin⁴^ORCID

Affiliation:

1. School of Computing and Artificial Intelligence, and Research Institute for Digital Economy and Interdisciplinary Sciences, Southwestern University of Finance and Economics, Chengdu, China

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

3. Shenzhen Institute of Advanced Technology, Shenzhen, China

4. Harbin Institute of Technology Shenzhen, Shenzhen, China

Funder

Zhejiang Lab

PCL

Shenzhen Science and Technology Innovation Commission

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/34/10627928/10477543.pdf?arnumber=10477543

Reference58 articles.

1. Unsupervised Feature Learning via Non-parametric Instance Discrimination

2. Momentum Contrast for Unsupervised Visual Representation Learning

3. Contrastive Learning with Stronger Augmentations

4. A Low Rank Promoting Prior for Unsupervised Contrastive Learning

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