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...

詳細記述

書誌詳細
出版年:Journal of Imaging
主要な著者: Cristian Sestito, Fanny Spagnolo, Stefania Perri
フォーマット: 論文
言語:英語
出版事項: MDPI AG 2021-10-01
主題:
オンライン・アクセス:https://www.mdpi.com/2313-433X/7/10/210