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Consecutive multiscale feature learning-based image classification model

Extracting useful features at multiple scales is a crucial task in computer vision. The emergence of deep-learning techniques and the advancements in convolutional neural networks (CNNs) have facilitated effective multiscale feature extraction that results in stable performance improvements in numer...

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Detalles Bibliográficos
Autores principales: Olimov, Bekhzod, Subramanian, Barathi, Ugli, Rakhmonov Akhrorjon Akhmadjon, Kim, Jea-Soo, Kim, Jeonghong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9984458/
https://www.ncbi.nlm.nih.gov/pubmed/36869132
http://dx.doi.org/10.1038/s41598-023-30480-8

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