Self-supervised action representation learning from partial consistency skeleton sequences

Biyun Lin; Yinwei Zhan

doi:10.1007/s00521-024-09671-5

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Self-supervised action representation learning from partial consistency skeleton sequences

Biyun Lin Yinwei Zhan

Year: 2024 Journal: Neural Computing and Applications Vol: 36 (20)Pages: 12385-12395 Publisher: Springer Science+Business Media

DOI: 10.1007/s00521-024-09671-5

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Keywords:

Skeleton (computer programming) Consistency (knowledge bases) Representation (politics) Action (physics) Artificial intelligence Computer science Mathematics Pattern recognition (psychology) Physics

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Human Pose and Action Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Multimodal Machine Learning Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Video Analysis and Summarization

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Self-supervised action representation learning from partial consistency skeleton sequences

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