A Novel Active-Learning Based Emotion-Vision-Transformer Network for Expression Recognition-Reference-Cited by-同舟云学术

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A Novel Active-Learning Based Emotion-Vision-Transformer Network for Expression Recognition

Published:2023-10-20 Issue: Volume: Page:473-480
ISSN:
Container-title:Proceedings of the 2023 4th International Symposium on Artificial Intelligence for Medicine Science
language:
Short-container-title:

Author:

Kang Xianchang¹^ORCID,Yu Enbo²^ORCID,Chen Kai¹^ORCID,Sang Wei¹^ORCID,Lai Xingyu¹^ORCID,Lin Peihua³^ORCID,Sun Pei⁴^ORCID

Affiliation:

1. Research Center for Social Psychological Service, School of Social Science, Tsinghua University, China

2. Big Data Department, Huishang Bank, China

3. Early Childhood Development , Faculty of Education University of Macau, China

4. Research Center for Social Psychological Service, School of Social Science, Tsinghua University, China and City University of Macau, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3644116.3644194

Reference22 articles.

1. Leo M Carcagnì P Mazzeo PL Spagnolo P Cazzato D Distante C. Analysis of Facial Information for Healthcare Applications: A Survey on Computer Vision-Based Approaches. Information. 2020; 11(3):128. https://doi.org/10.3390/info11030128

2. A Facial Expression Recognition System Using Convolutional Networks

3. Piatkowska E. 2020. Facial Expression Recognition System. International Journal For Innovative Engineering and Management Research.

4. Constants across cultures in the face and emotion.

5. Sekhon PS Ethunandan M Markus AF Krishnan G Rao CB. Congenital anomalies associated with cleft lip and palate-an analysis of 1623 consecutive patients. Cleft Palate Craniofac J. 2011 Jul;48(4):371-8. doi: 10.1597/09-264. Epub 2010 Jul 1. PMID: 20815715.

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