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Generalized Pose Decoupled Network for Unsupervised 3D Skeleton Sequence-Based Action Representation Learning
Human action representation is derived from the description of human shape and motion. The traditional unsupervised 3-dimensional (3D) human action representation learning method uses a recurrent neural network (RNN)-based autoencoder to reconstruct the input pose sequence and then takes the midleve...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AAAS
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10076048/ https://www.ncbi.nlm.nih.gov/pubmed/37040281 http://dx.doi.org/10.34133/cbsystems.0002 |