IDEA-Net: Adaptive Dual Self-Attention Network for Single Image Denoising-Reference-Cited by-同舟云学术

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IDEA-Net: Adaptive Dual Self-Attention Network for Single Image Denoising

Published:2022-01 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW)
language:
Short-container-title:

Author:

Zuo Zheming¹,Chen Xinyu²,Xu Han³,Li Jie⁴,Liao Wenjuan⁵,Yang Zhi-Xin²,Wang Shizheng⁶

Affiliation:

1. Durham University,Department of Computer Science,UK

2. University of Macau,Department of Electromechanical Engineering,China

3. University of Chinese Academy of Sciences,School of Microelectronics,China

4. Engineering & Digital Technologies, Teesside University,School of Computing,UK

5. Australian National University,College of Engineering and Computer Science,Australia

6. Institute of Microelectronics,Chinese Academy of Sciences,China

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9707470/9707509/09707567.pdf?arnumber=9707567

Reference48 articles.

1. WIDER FACE: A Face Detection Benchmark

2. Low-Dose CT Image Denoising Using a Generative Adversarial Network With Wasserstein Distance and Perceptual Loss

3. Recovering Realistic Texture in Image Super-Resolution by Deep Spatial Feature Transform

4. Attention is all you need;vaswani;arXiv preprint arXiv 1706 03762,2017

5. Deep image prior;ulyanov;Proc CVPR,2018

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4. An Improved two-channel Pixel Attention Mechanism for Underwater Image Denoising;2023 International Conference on Artificial Intelligence and Automation Control (AIAC);2023-11-17

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