Multi-Scale Spatio-Temporal Graph Convolutional Network for Facial Expression Spotting

arXiv:2403.15994v1 Announce Type: new
Abstract: Facial expression spotting is a significant but challenging task in facial expression analysis. The accuracy of expression spotting is affected not only by irrelevant facial movements but also by the difficulty of perceiving subtle motions in micro-expressions. In this paper, we propose a Multi-Scale Spatio-Temporal Graph Convolutional Network (SpoT-GCN) for facial expression spotting. To extract more robust motion features, we track both short- and long-term motion of facial muscles in compact sliding windows whose window …

abstract accuracy analysis arxiv cs.ai cs.cv graph micro movements network paper scale temporal type