Facial Action Unit Detection Based on Multi-task Learning Strategy for Unlabeled Facial Images in the Wild

Facial Action Unit (AU) detection often relies on highly-cost accurate labeling or inaccurate pseudo labeling techniques in recent years. How to introduce large amounts of unlabeled facial images in the wild into supervised AU detection frameworks has become a challenging problem. Additionally, nearly every type of AUs has the problem of unbalanced positive and negative samples. Inspired by other multi-task learning frameworks, we first propose a multi-task learning strategy boosting AU detection in the wild through jointing facial landmark detection …

become cost cs.ai cs.cv cs.lg detection every frameworks images labeling multi-task learning strategy