基于过渡帧概念训练的微表情检测深度网络

付晓峰,牛力,胡卓群,李建军,吴卿

Deep micro-expression spotting network training based on concept of transition frame

Xiao-feng FU,Li NIU,Zhuo-qun HU,Jian-jun LI,Qing WU

表 2 MesNet采用不同去除过渡帧方法的AUC

Tab.2 AUC values of MesNet using different methods of removing transition frames

方法 AUC CASME II SMIC-E-HS CAS(ME)2 0% 0.938 6 0.906 2 0.752 8 10% 0.952 6 0.918 0 0.763 9 20% 0.944 9 0.901 7 0.742 1 30% 0.916 2 0.888 3 0.736 1 自适应 0.955 6 0.933 8 0.785 3