Triple-Granularity Contrastive Learning for Deep Multi-View Subspace Clustering-Reference-Cited by-同舟云学术

Triple-Granularity Contrastive Learning for Deep Multi-View Subspace Clustering

Published:2023-10-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM International Conference on Multimedia
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Author:

Wang Jing¹^ORCID,Feng Songhe¹^ORCID,Lyu Gengyu²^ORCID,Gu Zhibin¹^ORCID

Affiliation:

1. Beijing Jiaotong University, Beijing, China

2. Beijing University of Technology, Beijing, China

Funder

The Fundamental Research Funds for the Central Universities

China Postdoctoral Science Foundation

Beijing Postdoctoral Research Foundation

National Key Research and Development Program of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581783.3611844

Reference42 articles.

1. Multi-view low-rank sparse subspace clustering

2. Diversity-induced Multi-view Subspace Clustering

3. Yongyong Chen , Shuqin Wang , Xiaolin Xiao , Youfa Liu , Zhongyun Hua , and Yicong Zhou . [n.,d.]. Self-paced enhanced low-rank tensor kernelized multi-view subspace Clustering . IEEE Trans. Multim ., Vol. 24 ( [n.,d.]), 4054--4066. Yongyong Chen, Shuqin Wang, Xiaolin Xiao, Youfa Liu, Zhongyun Hua, and Yicong Zhou. [n.,d.]. Self-paced enhanced low-rank tensor kernelized multi-view subspace Clustering. IEEE Trans. Multim., Vol. 24 ( [n.,d.]), 4054--4066.

4. Self-Guided Deep Multi-View Subspace Clustering Network

5. Multi-view Subspace Clustering

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