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. https://www.coers.shop/product-category/womenswear/
View Enhanced Jigsaw Puzzle for Self-Supervised Feature Learning in 3D Human Action Recognition
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