A Heterogeneous Hardware Accelerator for Image Classification in Embedded Systems

Convolutional neural networks (CNN) have been extensively employed for image classification due to their high accuracy. However, inference is a computationally-intensive process that often requires hardware acceleration to operate in real time. For mobile devices, the power consumption of graphics p...

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Detalles Bibliográficos
Autores principales: Pérez, Ignacio, Figueroa, Miguel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8069940/
https://www.ncbi.nlm.nih.gov/pubmed/33918668
http://dx.doi.org/10.3390/s21082637

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8069940/
https://www.ncbi.nlm.nih.gov/pubmed/33918668
http://dx.doi.org/10.3390/s21082637

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