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Design of Flexible Hardware Accelerators for Image Convolutions and Transposed Convolutions

Nowadays, computer vision relies heavily on convolutional neural networks (CNNs) to perform complex and accurate tasks. Among them, super-resolution CNNs represent a meaningful example, due to the presence of both convolutional (CONV) and transposed convolutional (TCONV) layers. While the former exp...

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Detalles Bibliográficos
Autores principales:	Sestito, Cristian, Spagnolo, Fanny, Perri, Stefania
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8538663/ https://www.ncbi.nlm.nih.gov/pubmed/34677296 http://dx.doi.org/10.3390/jimaging7100210

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