Lightweight and Energy-Efficient Deep Learning Accelerator for Real-Time Object Detection on Edge Devices

Tiny machine learning (TinyML) has become an emerging field according to the rapid growth in the area of the internet of things (IoT). However, most deep learning algorithms are too complex, require a lot of memory to store data, and consume an enormous amount of energy for calculation/data movement...

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Detalles Bibliográficos
Autores principales: Kim, Kyungho, Jang, Sung-Joon, Park, Jonghee, Lee, Eunchong, Lee, Sang-Seol
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9919609/
https://www.ncbi.nlm.nih.gov/pubmed/36772225
http://dx.doi.org/10.3390/s23031185

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9919609/
https://www.ncbi.nlm.nih.gov/pubmed/36772225
http://dx.doi.org/10.3390/s23031185

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