Self-Supervised Facial Representation Learning with Facial Region Awareness

arXiv:2403.02138v1 Announce Type: new
Abstract: Self-supervised pre-training has been proved to be effective in learning transferable representations that benefit various visual tasks. This paper asks this question: can self-supervised pre-training learn general facial representations for various facial analysis tasks? Recent efforts toward this goal are limited to treating each face image as a whole, i.e., learning consistent facial representations at the image-level, which overlooks the consistency of local facial representations (i.e., facial regions like eyes, nose, etc). In this work, …

abstract analysis arxiv benefit cs.cv face facial analysis general image learn paper pre-training question representation representation learning tasks training type visual