Cycle-SNSPGAN: Towards Real-World Image Dehazing via Cycle Spectral Normalized Soft Likelihood Estimation Patch GAN-Reference-Cited by-同舟云学术

Cycle-SNSPGAN: Towards Real-World Image Dehazing via Cycle Spectral Normalized Soft Likelihood Estimation Patch GAN

Published:2022-11 Issue:11 Volume:23 Page:20368-20382
ISSN:1524-9050
Container-title:IEEE Transactions on Intelligent Transportation Systems
language:
Short-container-title:IEEE Trans. Intell. Transport. Syst.

Author:

Wang Yongzhen¹^ORCID,Yan Xuefeng¹^ORCID,Guan Donghai¹^ORCID,Wei Mingqiang²^ORCID,Chen Yiping³^ORCID,Zhang Xiao-Ping⁴^ORCID,Li Jonathan⁵^ORCID

Affiliation:

1. School of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, China

2. Shenzhen Research Institute, Nanjing University of Aeronautics and Astronautics, Shenzhen, China

3. Fujian Key Laboratory of Sensing and Computing for Smart Cities, School of Informatics, Xiamen University, Xiamen, China

4. Department of Electrical, Computer and Biomedical Engineering, Ryerson University, Toronto, ON, Canada

5. Department of Geography and Environmental Management and the Department of Systems Design Engineering, University of Waterloo, Waterloo, ON, Canada

Funder

National Natural Science Foundation of China

Joint Fund of National Natural Science Foundation of China and Civil Aviation Administration of China

Free Exploration of Basic Research Project, Local Science and Technology Development Fund Guided by the Central Government of China

14th Five-Year Planning Equipment Pre-Research Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Science Applications,Mechanical Engineering,Automotive Engineering

Link

http://xplorestaging.ieee.org/ielx7/6979/9942712/09766195.pdf?arnumber=9766195

Reference66 articles.

1. Rain Streak Removal via Dual Graph Convolutional Network

2. Deep Residual Learning for Image Recognition

3. FAMED-Net: A Fast and Accurate Multi-Scale End-to-End Dehazing Network

4. GridDehazeNet: An enhanced multi-scale network with intra-task knowledge transfer for single image dehazing;liu;arXiv 2103 13998,2021

5. FD-GAN: Generative Adversarial Networks with Fusion-Discriminator for Single Image Dehazing

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