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Towards an Efficient CNN Inference Architecture Enabling In-Sensor Processing †
The astounding development of optical sensing imaging technology, coupled with the impressive improvements in machine learning algorithms, has increased our ability to understand and extract information from scenic events. In most cases, Convolution neural networks (CNNs) are largely adopted to infe...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8001538/ https://www.ncbi.nlm.nih.gov/pubmed/33802235 http://dx.doi.org/10.3390/s21061955 |