A Transformer model with unified skeleton representation, two-stream motion encoder, and multi-grained motion-text contrastive alignment achieves effective recognition on a new integrated heterogeneous open-vocabulary skeleton dataset.
Unsupervised representation learning with long-term dynamics for skeleton based action recognition
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Towards Universal Skeleton-Based Action Recognition
A Transformer model with unified skeleton representation, two-stream motion encoder, and multi-grained motion-text contrastive alignment achieves effective recognition on a new integrated heterogeneous open-vocabulary skeleton dataset.