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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...

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Detalles Bibliográficos
Autores principales: Shahi, Tej Bahadur, Sitaula, Chiranjibi, Neupane, Arjun, Guo, William
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
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