Self-Calibrated Efficient Transformer for Lightweight Super-Resolution-Reference-Cited by-同舟云学术

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Self-Calibrated Efficient Transformer for Lightweight Super-Resolution

Published:2022-06 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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Author:

Zou Wenbin¹,Ye Tian²,Zheng Weixin³,Zhang Yunchen⁴,Chen Liang¹,Wu Yi¹

Affiliation:

1. Fujian Normal University,Fujian Provincial Key Laboratory of Photonics Technology,Fuzhou,China

2. Jimei University,School of Ocean Information Engineering,Xiamen,China

3. Fuzhou University,College of Physics and Information Engineering,Fuzhou,China

4. China Design Group Co., Ltd.,Nanjing,China

Funder

Nature

Natural Science Foundation of Fujian Province

Technology Development

Research and Development

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9856930/9856648/09857420.pdf?arnumber=9857420

Reference53 articles.

1. Transweather: Transformer-based restoration of images degraded by adverse weather conditions;jose valanarasu,2021

2. Training data-efficient image transformers & distillation through attention;touvron;International Conference on Machine Learning,2021

3. Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network

4. Learning to Deblur Images with Exemplars

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3. Double Domain Guided Real-Time Low-Light Image Enhancement for Ultra-High-Definition Transportation Surveillance;IEEE Transactions on Intelligent Transportation Systems;2024-08

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