Facial Expression Recognition based on a Dual Graph Convolutional Network
The facial expression recognition on non-laboratory database is difficult and challenging. To improve the recognition performance, we propose a dual graph convolutional network, based on which two feature extractors are employed to facial images. The experimental results on RAF-DB and SFEW database...
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Published in | 2021 CIE International Conference on Radar (Radar) pp. 2412 - 2416 |
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Main Authors | , , |
Format | Conference Proceeding |
Language | English |
Published |
IEEE
15.12.2021
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Subjects | |
Online Access | Get full text |
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Summary: | The facial expression recognition on non-laboratory database is difficult and challenging. To improve the recognition performance, we propose a dual graph convolutional network, based on which two feature extractors are employed to facial images. The experimental results on RAF-DB and SFEW database show that our proposed method improves the accuracy of facial expression recognition on non-laboratory datasets. |
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ISSN: | 2640-7736 |
DOI: | 10.1109/Radar53847.2021.10028020 |