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

Internet

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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