Adaptive Fusion Attention Network for Facial Expression Recognition-Reference-Cited by-同舟云学术

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Adaptive Fusion Attention Network for Facial Expression Recognition

Published:2023-10-27 Issue: Volume: Page:260-264
ISSN:
Container-title:2023 12th International Conference on Computing and Pattern Recognition
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Author:

Li Guodong¹^ORCID,Peng Cheng²^ORCID,Zou Kun²^ORCID,Zhang Bowen³^ORCID

Affiliation:

1. School of Computer Science and Engineering(School of Cybersecurity), University of Electronic Science and Technology of China, China

2. School of Computing, University of Electronic Science and Technology of China, Zhongshan Institute, China

3. College of Big Data and Internet, Shenzhen Technology University, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3633637.3633678

Reference26 articles.

1. The Expression Of The Emotions In Man And Animals

2. Experimental Study on Abstract Expression of Human-Robot Emotional Communication

3. Personality affected robotic emotional model with associative memory for human-robot interaction

4. Multimodal Emotional Understanding in Robotics

5. Wen, Y., Zhang, K., Li, Z., & Qiao, Y. (2016). A discriminative feature learning approach for deep face recognition. In Computer Vision–ECCV 2016: 14th European Conference, Amsterdam, The Netherlands, October 11–14, 2016, Proceedings, Part VII 14 (pp. 499-515). Springer International Publishing.

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