Cargando…
Skeleton-Based Action Recognition Based on Distance Vector and Multihigh View Adaptive Networks
Skeleton-based human action recognition has attracted much attention in the field of computer vision. Most of the previous studies are based on fixed skeleton graphs so that only the local physical dependencies among joints can be captured, resulting in the omission of implicit joint correlations. I...
Autores principales: | Zhang, Min, Yang, Haijie, Li, Pengfei, Jiang, Ming |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Hindawi
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8390161/ https://www.ncbi.nlm.nih.gov/pubmed/34456989 http://dx.doi.org/10.1155/2021/1507770 |
Ejemplares similares
-
Whole and Part Adaptive Fusion Graph Convolutional Networks for Skeleton-Based Action Recognition
por: Zuo, Qi, et al.
Publicado: (2020) -
Adaptive Attention Memory Graph Convolutional Networks for Skeleton-Based Action Recognition
por: Liu, Di, et al.
Publicado: (2021) -
Shallow Graph Convolutional Network for Skeleton-Based Action Recognition
por: Yang, Wenjie, et al.
Publicado: (2021) -
An efficient self-attention network for skeleton-based action recognition
por: Qin, Xiaofei, et al.
Publicado: (2022) -
Multi-Modality Adaptive Feature Fusion Graph Convolutional Network for Skeleton-Based Action Recognition
por: Zhang, Haiping, et al.
Publicado: (2023)