Partially View-Aligned Representation Learning via Cross-View Graph Contrastive Network-Reference-Cited by-同舟云学术

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Partially View-Aligned Representation Learning via Cross-View Graph Contrastive Network

Published:2024-08 Issue:8 Volume:34 Page:7272-7283
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Wang Yiming¹^ORCID,Chang Dongxia²^ORCID,Fu Zhiqiang³,Wen Jie⁴^ORCID,Zhao Yao²^ORCID

Affiliation:

1. School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China

2. Institute of Information Science, Beijing Jiaotong University, Beijing, China

3. China Construction Bank, Beijing, China

4. Shenzhen Key Laboratory of Visual Object Detection and Recognition, Harbin Institute of Technology, Shenzhen, Shenzhen, China

Funder

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/76/10634006/10471595.pdf?arnumber=10471595

Reference56 articles.

1. Low-Rank Tensor Graph Learning for Multi-View Subspace Clustering

2. AE2-Nets: Autoencoder in Autoencoder Networks

3. Hierarchically Learned View-Invariant Representations for Cross-View Action Recognition

4. Deep Image-to-Video Adaptation and Fusion Networks for Action Recognition

5. Semantics-Aware Adaptive Knowledge Distillation for Sensor-to-Vision Action Recognition

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