Cross-Layer Contrastive Learning of Latent Semantics for Facial Expression Recognition-Reference-Cited by-同舟云学术

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Cross-Layer Contrastive Learning of Latent Semantics for Facial Expression Recognition

Published:2024 Issue: Volume:33 Page:2514-2529
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Xie Weicheng¹^ORCID,Peng Zhibin¹^ORCID,Shen Linlin¹^ORCID,Lu Wenya¹,Zhang Yang¹,Song Siyang²^ORCID

Affiliation:

1. Computer Vision Institute, School of Computer Science and Software Engineering, Shenzhen Institute of Artificial Intelligence and Robotics for Society, Guangdong Key Laboratory of Intelligent Information Processing, Shenzhen University, Shenzhen, China

2. Department of Computer Science and Technology, University of Cambridge, Cambridge, U.K.

Funder

Natural Science Foundation of China

Science and Technology Project of Guangdong Province

Science and Technology Innovation Commission of Shenzhen

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/83/10346232/10478291.pdf?arnumber=10478291

Reference77 articles.

1. Visualizing and Understanding Convolutional Networks

2. Deep Residual Learning for Image Recognition

3. FractalNet: Ultra-deep neural networks without residuals;Larsson

4. Knowledge Transfer via Dense Cross-Layer Mutual-Distillation

5. Facial expression recognition based on a multi-task global-local network

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