Wenming Cao

MEMC: Masked modeling with efficient and minimal contrastive learning for self-supervised skeleton-based action recognition.

This work proposes MEMC (Masked Modeling with Efficient and Minimal Contrastive Learning), a novel framework that adopts an efficient sequential cascade strategy based on layer-grafted pretraining and introduces two CL enhancements to improve the discriminative capability of the learned representations.