Multi-Granularity Feature Fusion Network for Dynamic Sequential Facial Expression Recognition-Reference-Cited by-同舟云学术

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Multi-Granularity Feature Fusion Network for Dynamic Sequential Facial Expression Recognition

Published:2023-11-17 Issue: Volume: Page:7064-7069
ISSN:
Container-title:2023 China Automation Congress (CAC)
language:
Short-container-title:

Author:

Xiao-Ying Guo¹,Xin-Chen Mao²,Wen-Shu Li³,Ru-Yi Bai¹

Affiliation:

1. School of Automation and Software Engineering, Shanxi University,Taiyuan,Shanxi,China

2. School of Compute and Information Technology, Shanxi University,Taiyuan,Shanxi,China

3. Zhejiang Sci-Tech University,Department of Information Science and Technology,Hangzhou,Zhejiang,China

Funder

National Natural Science Foundation of China

Natural Science Research Program of Shanxi Province Basic Research Program

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10450150/10449968/10451422.pdf?arnumber=10451422

Reference31 articles.

1. Constants across cultures in the face and emotion.

2. A Spatio-temporal Approach for Apathy Classification

3. Emotion Recognition in the Wild via Convolutional Neural Networks and Mapped Binary Patterns

4. A Deep Neural Network-Driven Feature Learning Method for Multi-view Facial Expression Recognition

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