An Energy-Efficient FPGA-based Deconvolutional Neural Networks Accelerator for Single Image Super-Resolution

18 January 2018

Papers citing "An Energy-Efficient FPGA-based Deconvolutional Neural Networks Accelerator for Single Image Super-Resolution"

3 / 3 papers shown

Title
Reduce Computational Complexity for Convolutional Layers by Skipping Zeros Zhiyi Zhang Pengfei Zhang Zhuopin Xu Qi Wang 26 1 0 28 Jun 2023
Towards Design Methodology of Efficient Fast Algorithms for Accelerating Generative Adversarial Networks on FPGAs Jung-Woo Chang Saehyun Ahn Keon-Woo Kang Suk-ju Kang 16 15 0 15 Nov 2019
Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network Wenzhe Shi Jose Caballero Ferenc Huszár J. Totz Andrew P. Aitken Rob Bishop Daniel Rueckert Zehan Wang SupR 234 5,181 0 16 Sep 2016