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REMODEL: Rethinking Deep CNN Models to Detect and Count on a NeuroSynaptic System
In this work, we perform analysis of detection and counting of cars using a low-power IBM TrueNorth Neurosynaptic System. For our evaluation we looked at a publicly-available dataset that has overhead imagery of cars with context present in the image. The trained neural network for image analysis wa...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6395404/ https://www.ncbi.nlm.nih.gov/pubmed/30853879 http://dx.doi.org/10.3389/fnins.2019.00004 |