Deep-Emotion: Facial Expression Recognition Using Attentional\n Convolutional Network

Facial expression recognition has been an active research area over the past\nfew decades, and it is still challenging due to the high intra-class variation.\n Traditional approaches for this problem rely on hand-crafted features such as\nSIFT, HOG and LBP, followed by a classifier trained on a data... View More