Human Reaction Intensity Estimation with Ensemble of Multi-task Networks

Jiyeon Oh, Daun Kim, Jae-Yeop Jeong, Yeong-Gi Hong, Jin-Woo Jeong

Abstract: Facial expression in-the-wild is essential for various interactive computing domains. Especially, "Emotional Reaction Intensity" (ERI) is an important topic in the facial expression recognition task. In this paper, we propose a multi-emotional task learning-based approach and present preliminary results for the ERI challenge introduced in the 5th affective behavior analysis in-the-wild (ABAW) competition. Our method achieved the mean PCC score of 0.3254.