Efficient Image Super-Resolution via Symmetric Visual Attention Network-Reference-Cited by-同舟云学术

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Efficient Image Super-Resolution via Symmetric Visual Attention Network

Published:2024-06-30 Issue: Volume: Page:1-7
ISSN:
Container-title:2024 International Joint Conference on Neural Networks (IJCNN)
language:
Short-container-title:

Author:

Fan Qinrui¹,Wu Chengxu¹,Hu Shu²,Wu Xi¹,Wang Xin³,Hu Jing¹

Affiliation:

1. Chengdu University of Information Technology,School of Computer,Chengdu,China

2. Indiana University–Purdue University,Department of Computer Information and Graphics Technology,Indianapolis,IN,USA

3. University at Albany, SUNY,School of Public Health,USA

Funder

National Natural Science Foundation of China

Research and Development

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10649807/10649898/10650362.pdf?arnumber=10650362

Reference34 articles.

1. Is image super-resolution helpful for other vision tasks?

2. Learning to Zoom-In via Learning to Zoom-Out: Real-World Super-Resolution by Generating and Adapting Degradation

3. Accelerating the Super-Resolution Convolutional Neural Network

4. SwinIR: Image Restoration Using Swin Transformer

5. Activating More Pixels in Image Super-Resolution Transformer

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