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Fruit classification using attention-based MobileNetV2 for industrial applications
Recent deep learning methods for fruits classification resulted in promising performance. However, these methods are with heavy-weight architectures in nature, and hence require a higher storage and expensive training operations due to feeding a large number of training parameters. There is a necess...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8880666/ https://www.ncbi.nlm.nih.gov/pubmed/35213643 http://dx.doi.org/10.1371/journal.pone.0264586 |