M3GCLR: Multi-View Mini-Max Infinite Skeleton-Data Game Contrastive Learning For Skeleton-Based Action Recognition
M3GCLR: Multi-View Mini-Max Infinite Skeleton-Data Game Contrastive Learning For Skeleton-Based Action Recognition explores M3GCLR introduces a game-theoretic approach to enhance skeleton-based action recognition through contrastive learning.. Commercial viability score: 3/10 in Action Recognition.
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