Spatial-Temporal Graph Networks for Action Recognition

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Explores skeleton-based action recognition, addressing traditional limitations through ST-GCN. Discusses challenges in skeleton modeling, compares related works, and introduces a detailed spatial-temporal graph model. Highlights experimental results, dataset applications, and advancements over other methods.

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