Facial Expression Recognition Using Disentangled Adversarial Learning

28 Sep 2019Kamran AliCharles E. Hughes

The representation used for Facial Expression Recognition (FER) usually contain expression information along with other variations such as identity and illumination. In this paper, we propose a novel Disentangled Expression learning-Generative Adversarial Network (DE-GAN) to explicitly disentangle facial expression representation from identity information... (read more)

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