View Enhanced Jigsaw Puzzle for Self-Supervised Feature Learning in 3D Human Action Recognition
Self-supervised learning methods have received much attention in skeleton-based human action recognition.These methods rely on pretext tasks to utilize unlabeled data and learn an effective feature encoder.In this paper, a novel self-supervised learning method is proposed.First, we design a new pretext task called view enhanced jigsaw puzzle (VEJP)