Facial Expression Recognition (FER) is a classification task that points to face variants. Hence, there are certain affinity features between facial expressions, receiving lit-
The DISFA dataset is a publicly available spontaneous facial expression dataset which contains 27 subjects (12 females, and 15 males) aged in between [18, 50] and ethnically 3...
BP4D is a large-scale spontaneous facial expression database containing 41 subjects with 23 women and 18 men, each of whom is associated with 8 video-recorded tasks.
