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Adaptive Graph-Based Feature Normalization for Facial Expression Recognition. (arXiv:2207.11123v1 [cs.CV])
July 25, 2022, 1:12 a.m. | Yangtao Du, Qingqing Wang, Yujie Xiong
cs.CV updates on arXiv.org arxiv.org
Facial Expression Recognition (FER) suffers from data uncertainties caused by
ambiguous facial images and annotators' subjectiveness, resulting in excursive
semantic and feature covariate shifting problem. Existing works usually correct
mislabeled data by estimating noise distribution, or guide network training
with knowledge learned from clean data, neglecting the associative relations of
expressions. In this work, we propose an Adaptive Graph-based Feature
Normalization (AGFN) method to protect FER models from data uncertainties by
normalizing feature distributions with the association of expressions.
Specifically, …
More from arxiv.org / cs.CV updates on arXiv.org
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