A New Image Classification Approach via Improved MobileNet Models with Local Receptive Field Expansion in Shallow Layers

Because deep neural networks (DNNs) are both memory-intensive and computation-intensive, they are difficult to apply to embedded systems with limited hardware resources. Therefore, DNN models need to be compressed and accelerated. By applying depthwise separable convolutions, MobileNet can decrease...

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Detalles Bibliográficos
Autores principales: Wang, Wei, Hu, Yiyang, Zou, Ting, Liu, Hongmei, Wang, Jin, Wang, Xin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7416240/
https://www.ncbi.nlm.nih.gov/pubmed/32802028
http://dx.doi.org/10.1155/2020/8817849

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7416240/
https://www.ncbi.nlm.nih.gov/pubmed/32802028
http://dx.doi.org/10.1155/2020/8817849

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