Revisiting Few-Shot Learning for Facial Expression Recognition

5 Dec 2019Anca-Nicoleta CiubotaruArnout DevosBehzad BozorgtabarJean-Philippe ThiranMaria Gabrani

Most of the existing deep neural nets on automatic facial expression recognition focus on a set of predefined emotion classes, where the amount of training data has the biggest impact on performance. However, in the standard setting over-parameterised neural networks are not amenable for learning from few samples as they can quickly over-fit... (read more)

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