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Design of a Scalable and Fast YOLO for Edge-Computing Devices
With the increase in research cases of the application of a convolutional neural network (CNN)-based object detection technology, studies on the light-weight CNN models that can be performed in real time on the edge-computing devices are also increasing. This paper proposed scalable convolutional bl...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7729998/ https://www.ncbi.nlm.nih.gov/pubmed/33260957 http://dx.doi.org/10.3390/s20236779 |