Occlusion-aware facial expression recognition: A deep learning approach
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Hardware and Architecture,Media Technology,Software
Link
https://link.springer.com/content/pdf/10.1007/s11042-023-17013-1.pdf
Reference32 articles.
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3. Gunes H, Schuller B (2013) Categorical and dimensional affect analysis in continuous input: Current trends and future directions. Image Vis Comput 31(2):120–136. https://doi.org/10.1016/j.imavis.2012.06.016
4. S Li, W Deng (2022) "Deep Facial Expression Recognition: A Survey," in IEEE Transactions on Affective Computing 13(3) 1195–1215 https://doi.org/10.1109/TAFFC.2020.2981446
5. Hwooi SKW, Othmani A, Sabri AQM (2022) Deep Learning-Based Approach for Continuous Affect Prediction From Facial Expression Images in Valence-Arousal Space. IEEE Access 10:96053–96065. https://doi.org/10.1109/ACCESS.2022.3205018
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