Robust consistency learning for facial expression recognition under label noise
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00371-024-03558-1.pdf
Reference72 articles.
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3. Zhang, F., Xu, M., Xu, C.: Weakly-supervised facial expression recognition in the wild with noisy data. IEEE Trans. Multimed. 24, 1800–1814 (2021)
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5. Chang, C.-J., Zhao, L., Zhang, S., Kapadia, M.: Disentangling audio content and emotion with adaptive instance normalization for expressive facial animation synthesis. Comput. Animat. Virtual Worlds 33(3–4), 2076 (2022). https://doi.org/10.1002/cav.2076
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