Single-image super-resolution with multilevel residual attention network
Author:
Funder
National Natural Science Foundation of China
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Link
https://link.springer.com/content/pdf/10.1007/s00521-020-04896-6.pdf
Reference38 articles.
1. Zhang L, Wu X (2006) An edge-guided image interpolation algorithm via directional filtering and data fusion. IEEE Trans Image Process 15:2226–2238. https://doi.org/10.1109/TIP.2006.877407
2. Zhang K, Gao X, Tao D, Li X (2012) Single image super-resolution with non-local means and steering kernel regression. IEEE Trans Image Process 21:4544–4556. https://doi.org/10.1109/TIP.2012.2208977
3. Dong C, Loy CC, He K, Tang X (2016) Image super-resolution using deep convolutional networks. IEEE Trans Pattern Anal Mach Intell 38:295–307. https://doi.org/10.1109/TPAMI.2015.2439281
4. Kim J, Lee JK, Lee KM (2016) Accurate image super-resolution using very deep convolutional networks. In: 2016 IEEE conference on computer vision and pattern recognition (CVPR). IEEE, Las Vegas, NV, USA, pp 1646–1654
5. Tong T, Li G, Liu X, Gao Q (2017) Image super-resolution using dense skip connections. In: 2017 IEEE international conference on computer vision (ICCV). IEEE, Venice, pp 4809–4817
Cited by 9 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. Application of Virtual Reality Technology Based on Convolutional Neural Network in Digital Media Art Creation;International Journal of Cognitive Informatics and Natural Intelligence;2024-08-29
2. GCPAN: an adaptive global cross-scale prior attention network for image super-resolution;Neural Computing and Applications;2023-05-17
3. Facial mask attention network for identity-aware face super-resolution;Neural Computing and Applications;2022-12-13
4. MCSNet: Multi-Channel Sharing Network for Single Image Super-Resolution;2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC);2022-11-07
5. Single image super-resolution based on multi-scale dense attention network;Soft Computing;2022-09-08
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