Accelerating Frequency-domain Convolutional Neural Networks Inference using FPGAs-Reference-Cited by-同舟云学术

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Accelerating Frequency-domain Convolutional Neural Networks Inference using FPGAs

Published:2024-05-19 Issue: Volume:3 Page:1-5
ISSN:
Container-title:2024 IEEE International Symposium on Circuits and Systems (ISCAS)
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Author:

Chen Yi¹,Liu Bosheng¹,Xu Yongqi¹,Wu Jigang¹,Chen Xiaoming²,Liu Peng¹,Zhou Qingguo³,Han Yinhe²

Affiliation:

1. Guangdong University of Technology,School of Computer Science and Technology,Guangzhou,China

2. Chinese Academy of Sciences,Institute of Computing Technology,Beijing,China

3. Lanzhou University,School of Information Science and Engineering,Lanzhou,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10557746/10557828/10558358.pdf?arnumber=10558358

Reference18 articles.

1. Going Further With Winograd Convolutions: Tap-Wise Quantization for Efficient Inference on 4x4 Tiles

2. Deep Residual Learning for Image Recognition

3. Very deep convolutional networks for large-scale image recognition;Simonyan,2014

4. Towards Reconfigurable CNN Accelerator for FPGA Implementation

5. A Systematic Assessment of Embedded Neural Networks for Object Detection

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