Effects of haze and dehazing on deep learning-based vision models
Author:
Funder
National Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-022-03245-5.pdf
Reference56 articles.
1. Wu H, Qu Y, Lin S, Zhou J, Qiao R, Zhang Z, ... Ma L (2021) Contrastive learning for compact single image dehazing. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 10551–10560)
2. Zhang S, He F, Ren W, Yao J (2020) Joint learning of image detail and transmission map for single image dehazing. Vis Comput 36(2):305–316
3. Zhang J, He F, Chen Y (2020) A new haze removal approach for sky/river alike scenes based on external and internal clues. Multimedia Tools and Applications 79(3):2085–2107
4. Yoon KJ, Shyam P, Kim KS (2021, February) Towards domain invariant single image dehazing. In AAAI Conference on Aritificial Intelligence. Association for the Advancement of Artificial Intelligence
5. Wang C, Huang Y, Zou Y, Xu Y (2021, June) FWB-Net: front white balance network for color shift correction in single image dehazing via atmospheric light estimation. In ICASSP 2021–2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 2040–2044). IEEE.
Cited by 13 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. Improving semantic segmentation accuracy in thin cloud interference scenarios by mixing simulated cloud-covered samples;International Journal of Applied Earth Observation and Geoinformation;2024-09
2. High Throughput DWT Architecture for Signal Processing;International Journal of Scientific Research in Science and Technology;2024-07-13
3. Challenges of Using Artificial Intelligence in the Process of Shi’i Ijtihad;Religions;2024-04-28
4. DSSCNet: Deep Custom Spatial and Spectral Consistency Layer-Based Dehazing Network;IEEE Access;2024
5. Classification Based on Texture Analysis for Synthetic Hazy Image from Mount Kelud Haze Image Density;2023 8th International Conference on Electrical, Electronics and Information Engineering (ICEEIE);2023-09-28
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3