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Skeleton-Based Spatio-Temporal U-Network for 3D Human Pose Estimation in Video
Despite the great progress in 3D pose estimation from videos, there is still a lack of effective means to extract spatio-temporal features of different granularity from complex dynamic skeleton sequences. To tackle this problem, we propose a novel, skeleton-based spatio-temporal U-Net(STUNet) scheme...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9003032/ https://www.ncbi.nlm.nih.gov/pubmed/35408188 http://dx.doi.org/10.3390/s22072573 |