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cs.CV2026
Generative Data Augmentation for Skeleton Action Recognition
Xu Dong, Wanqing Li, Anthony Adeyemi-Ejeye +1
Skeleton-based human action recognition is a powerful approach for understanding human behaviour from pose data, but collecting large-scale, diverse, and well-annotated 3D skeleton…
cs.CV2024★ 1 cited
Unsupervised Spatial-Temporal Feature Enrichment and Fidelity Preservation Network for Skeleton based Action Recognition
Chuankun Li, Shuai Li, Yanbo Gao +3
Unsupervised skeleton based action recognition has achieved remarkable progress recently. Existing unsupervised learning methods suffer from severe overfitting problem, and thus sm…