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On-sensor binarized CNN inference with dynamic model swapping in pixel processor arrays
Many types of Convolutional Neural Network (CNN) models and training methods have been proposed in recent years aiming to provide efficiency for embedded and edge devices with limited computation and memory resources. The wide variety of architectures makes this a complex task that has to balance ge...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9421154/ https://www.ncbi.nlm.nih.gov/pubmed/36046469 http://dx.doi.org/10.3389/fnins.2022.909448 |