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MEMe: A Mutually Enhanced Modeling Method for Efficient and Effective Human Pose Estimation
In this paper, a mutually enhanced modeling method (MEMe) is presented for human pose estimation, which focuses on enhancing lightweight model performance, but with low complexity. To obtain higher accuracy, a traditional model scale is largely expanded with heavy deployment difficulties. However, f...
| 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/PMC8780536/ https://www.ncbi.nlm.nih.gov/pubmed/35062592 http://dx.doi.org/10.3390/s22020632 |