부산대학교 도서관

Highlights •We explore deep prototypical learning for the MER problem, and try to address three challenges in this topic.•We propose a novel deep prototypical learning framework, namely ME-PLAN, using a 3D residual prototypical network with episodic training and a local-wise attention module to learn precise ME representation.•A novel apex frame spotting method based on Unimodal Pattern Constraint is proposed to effectively eliminate noise interference and accurately locate apex frames.•Extensive experimental results with a comparison of state-of-the-art methods have demonstrated the effectiveness of our ME-PLAN on apex frame spotting and MER tasks.