Contrastive Learning of Person-Independent Representations for Facial Action Unit Detection-Reference-Cited by-同舟云学术

Contrastive Learning of Person-Independent Representations for Facial Action Unit Detection

Published:2023 Issue: Volume:32 Page:3212-3225
ISSN:1057-7149
Container-title:IEEE Transactions on Image Processing
language:
Short-container-title:IEEE Trans. on Image Process.

Author:

Li Yong¹^ORCID,Shan Shiguang²^ORCID

Affiliation:

1. Key Laboratory of Intelligent Perception and Systems for High-Dimensional Information, Ministry of Education, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China

2. Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences (CAS), Beijing, China,

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Natural Science Foundation of Jiangsu Province

Shuangchuang Program of Jiangsu Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

http://xplorestaging.ieee.org/ielx7/83/9991910/10140180.pdf?arnumber=10140180

Reference70 articles.

1. A high-resolution spontaneous 3D dynamic facial expression database

2. Uncertain Graph Neural Networks for Facial Action Unit Detection

3. Hybrid Message Passing with Performance-Driven Structures for Facial Action Unit Detection

4. Learning Spatial and Temporal Cues for Multi-Label Facial Action Unit Detection

5. How much training data for facial action unit detection?

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