A lightweight attention deep learning method for human-vehicle recognition based on wireless sensing technology

Wireless sensing-based human-vehicle recognition (WiHVR) methods have become a hot spot for research due to its non-invasiveness and cost-effective advantages. However, existing WiHVR methods shows limited performance and slow execution time on human-vehicle classification task. To address this issu...

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Detalles Bibliográficos
Autores principales: Song, Mingxin, Zhu, Rensheng, Chen, Xinquan, Zheng, Chunlei, Lou, Liangliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9947461/
https://www.ncbi.nlm.nih.gov/pubmed/36845434
http://dx.doi.org/10.3389/fnins.2023.1135986

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9947461/
https://www.ncbi.nlm.nih.gov/pubmed/36845434
http://dx.doi.org/10.3389/fnins.2023.1135986

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