Facial Affect Estimation in the Wild Using Deep Residual and Convolutional Networks

Automated affective computing in the wild is a challenging task in the field of computer vision. This paper presents three neural network-based methods proposed for the task of facial affect estimation submitted to the First Affect-in-the-Wild challenge... (read more)

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