Semantic-Rich Facial Emotional Expression Recognition
Author:
Affiliation:
1. Netease Fuxi AI Lab, Beijing, China
2. Department of Computer Science, PALM Lab, Southeast University (SEU), Nanjing, Jiangsu, China
Funder
Key Research and Development Program of Zhejiang Province
Hangzhou Science and Technology Office
2022 Key Artificial Intelligence Science and Technology Innovation
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Human-Computer Interaction,Software
Link
http://xplorestaging.ieee.org/ielx7/5165369/9964459/09866516.pdf?arnumber=9866516
Reference62 articles.
1. Joint Pose and Expression Modeling for Facial Expression Recognition
2. Facial Expression Recognition with Inconsistently Annotated Datasets
3. Learning a Facial Expression Embedding Disentangled from Identity
4. A Compact Embedding for Facial Expression Similarity
5. Deep Residual Learning for Image Recognition
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