Joint Training on Multiple Datasets With Inconsistent Labeling Criteria for Facial Expression Recognition
Author:
Affiliation:
1. School of Electronics and Information Technology, Sun Yat-sen University, Guangzhou, China
2. Suzhou Municipal Key Laboratory of Multimodal Intelligent Systems, Data Science Research Center, Duke Kunshan University, Kunshan, China
Funder
Guangzhou Municipal Science and Technology Project
National Natural Science Foundation of China
DKU Interdisciplinary Seed Grant
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx7/5165369/10666803/10483295.pdf?arnumber=10483295
Reference53 articles.
1. The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression
2. Induced disgust, happiness and surprise: An addition to the mmi facial expression database;Valstar
3. Coding facial expressions with Gabor wavelets
4. Facial expression recognition from near-infrared videos
5. Static facial expression analysis in tough conditions: Data, evaluation protocol and benchmark
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