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.
Chase: Learning convex hull adaptive shift for skeleton-based multi-entity action recognition.Advances in Neural Information Processing Systems, 37:9388–9420,
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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.