Meta-Learning, Fast Adaptation, and Latent Representation for Head Pose Estimation

Head pose estimation is used in a variety of human-computer interface applications, like stare tracking, driving assistance, impaired assistance, and entertainment. Advances in convolutional neural networks have a considerable improvement in the performance of head pose estimation. However, difficulties in capturing well-labelled head pose data and differences in the facial features of different p...