Real-time Super Resolution CNN Accelerator with Constant Kernel Size Winograd Convolution-Reference-Cited by-同舟云学术

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Real-time Super Resolution CNN Accelerator with Constant Kernel Size Winograd Convolution

Published:2020-08 Issue: Volume: Page:
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Container-title:2020 2nd IEEE International Conference on Artificial Intelligence Circuits and Systems (AICAS)
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Author:

Yen Po-Wei,Lin Yu-Sheng,Chang Chia-Yang,Chien Shao-Yi

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9066468/9072687/09073972.pdf?arnumber=9073972

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. HDSuper: High-Quality and High Computational Utilization Edge Super-Resolution Accelerator With Hardware-Algorithm Co-Design Techniques;IEEE Transactions on Circuits and Systems I: Regular Papers;2024-04

2. ACNPU: A 4.75TOPS/W 1080P@30FPS Super Resolution Accelerator With Decoupled Asymmetric Convolution;IEEE Transactions on Circuits and Systems I: Regular Papers;2024-02

3. SuperHCA: An Efficient Deep-Learning Edge Super-Resolution Accelerator With Sparsity-Aware Heterogeneous Core Architecture;IEEE Transactions on Circuits and Systems I: Regular Papers;2024

4. HDSuper: Algorithm-Hardware Co-design for Light-weight High-quality Super-Resolution Accelerator;2023 60th ACM/IEEE Design Automation Conference (DAC);2023-07-09

5. ADAS: A High Computational Utilization D ynamic Reconfigurable Hardware A ccelerator for S uper Resolution;ACM Transactions on Reconfigurable Technology and Systems;2022-11-07

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