A spatial-temporal joint density measure detects 'prime joints' that drive contrastive and reconstruction learning, improving self-supervised skeleton action recognition by up to 3.6 points on NTU RGB+D 120.
Channel-wise topology refinement graph convolution for skeleton-based action recognition
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Spatio-Temporal Joint Density Driven Learning for Skeleton-Based Action Recognition
A spatial-temporal joint density measure detects 'prime joints' that drive contrastive and reconstruction learning, improving self-supervised skeleton action recognition by up to 3.6 points on NTU RGB+D 120.