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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Bibliografski detalji

Glavni autori:	Cristian Sestito, Fanny Spagnolo, Stefania Perri
Format:	Artigo
Jezik:	Inglês
Izdano:	MDPI AG 2021-10-01
Serija:	Journal of Imaging
Teme:	hardware accelerators convolutional neural networks transposed convolution super resolution imaging field programmable gate array (FPGA)
Online pristup:	https://www.mdpi.com/2313-433X/7/10/210
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