Representation modeling learning with multi-domain decoupling for unsupervised skeleton-based action recognition

Zhiquan He; Jiantu Lv; Shizhang Fang

doi:10.1016/j.neucom.2024.127495

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Representation modeling learning with multi-domain decoupling for unsupervised skeleton-based action recognition

Zhiquan He Jiantu Lv Shizhang Fang

Year: 2024 Journal: Neurocomputing Vol: 582 Pages: 127495-127495 Publisher: Elsevier BV

DOI: 10.1016/j.neucom.2024.127495

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Keywords:

Decoupling (probability) Computer science Artificial intelligence Representation (politics) Feature learning Skeleton (computer programming) Pattern recognition (psychology) Action recognition Domain (mathematical analysis) Machine learning Mathematics Class (philosophy)

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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

Anomaly Detection Techniques and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Representation modeling learning with multi-domain decoupling for unsupervised skeleton-based action recognition

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