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...
| 出版年: | Journal of Imaging |
|---|---|
| 主要な著者: | , , |
| 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 |
