Multimodal Art Pose Recognition and Interaction With Human Intelligence Enhancement
This paper provides an in-depth study and analysis of human artistic poses through intelligently enhanced multimodal artistic pose recognition. A complementary network model architecture of multimodal information based on motion energy proposed. The network exploits both the rich information of appe...
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Autores principales: | , , |
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Formato: | article |
Lenguaje: | EN |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://doaj.org/article/c3dfa052b0a5410db73acd2687df9639 |
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