Web: http://arxiv.org/abs/2209.08614

Sept. 20, 2022, 1:13 a.m. | Megan A. Witherow, Manar D. Samad, Norou Diawara, Haim Y. Bar, Khan M. Iftekharuddin

cs.CV updates on arXiv.org arxiv.org

Imaging of facial affects may be used to measure psychophysiological
attributes of children through their adulthood, especially for monitoring
lifelong conditions like Autism Spectrum Disorder. Deep convolutional neural
networks have shown promising results in classifying facial expressions of
adults. However, classifier models trained with adult benchmark data are
unsuitable for learning child expressions due to discrepancies in
psychophysical development. Similarly, models trained with child data perform
poorly in adult expression classification. We propose domain adaptation to
concurrently align distributions of …

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