Learning from feature and label spaces' bias for uncertainty-adaptive facial emotion recognition

Luhui Xu, Yanling Gan, Haiying Xia

Abstract: Highlights•We establish an uncertainty-adaptive framework via exploring the bias between two kinds of sample sets.•We custom two modules namely cross-space attention consistency learning module and soft-label learning module.•The experimental results on public datasets demonstrate the effectiveness of the proposed method.