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Shift Pose: A Lightweight Transformer-like Neural Network for Human Pose Estimation
High-performing, real-time pose detection and tracking in real-time will enable computers to develop a finer-grained and more natural understanding of human behavior. However, the implementation of real-time human pose estimation remains a challenge. On the one hand, the performance of semantic keyp...
| 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/PMC9570652/ https://www.ncbi.nlm.nih.gov/pubmed/36236362 http://dx.doi.org/10.3390/s22197264 |