Ada-DF: An Adaptive Label Distribution Fusion Network For Facial Expression Recognition

arXiv:2404.15714v1 Announce Type: new
Abstract: Facial expression recognition (FER) plays a significant role in our daily life. However, annotation ambiguity in the datasets could greatly hinder the performance. In this paper, we address FER task via label distribution learning paradigm, and develop a dual-branch Adaptive Distribution Fusion (Ada-DF) framework. One auxiliary branch is constructed to obtain the label distributions of samples. The class distributions of emotions are then computed through the label distributions of each emotion. Finally, those two distributions …

abstract ada annotation arxiv cs.ai cs.cv daily datasets distribution facial expression framework fusion hinder however life network paper paradigm performance recognition role type via