Facial Expression Emotion Recognition Based on Transfer Learning and Generative Model

Author:

Kusunose Tomoki1,Kang Xin1,Kiuchi Keita2,Nishimura Ryota1,Sasayama Manabu3,Matsumoto Kazuyuki1

Affiliation:

1. Tokushima University,Faculty of Science and Technology,Tokushima,Japan

2. National Institute of Occupational Safety and Health,Research Center for Overwork-Related Disorders,Kawasaki,Japan

3. National Institute of Technology,Kagawa College,Takamatsu,Japan

Publisher

IEEE

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Towards Emotional Authenticity in News Presentation: A Machine Learning Approach;2024 11th International Conference on Wireless Networks and Mobile Communications (WINCOM);2024-07-23

2. Multi-Representation Joint Dynamic Domain Adaptation Network for Cross-Database Facial Expression Recognition;Electronics;2024-04-12

3. Recognition of Human Emotions Through The Use of Facial Expressions;2023 Global Conference on Information Technologies and Communications (GCITC);2023-12-01

4. ChildGAN: Large Scale Synthetic Child Facial Data Using Domain Adaptation in StyleGAN;IEEE Access;2023

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