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A Lightweight CNN Model Based on GhostNet
The existing deep learning models have problems such as large weight parameters and slow inference speed of equipment. In practical applications such as fire detection, they often cannot be deployed on equipment with limited resources due to the huge amount of parameters and low efficiency. In respo...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Hindawi
2022
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9357762/ https://www.ncbi.nlm.nih.gov/pubmed/35958795 http://dx.doi.org/10.1155/2022/8396550 |