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...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Jie, Wang, Zhixing, Qi, Bo, Zhang, Jianlin, Yang, Hu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
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

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8780536/
https://www.ncbi.nlm.nih.gov/pubmed/35062592
http://dx.doi.org/10.3390/s22020632

Ejemplares similares