SPGAN-DA: Semantic-Preserved Generative Adversarial Network for Domain Adaptive Remote Sensing Image Semantic Segmentation
Author:
Affiliation:
1. School of Remote Sensing and Information Engineering, Hubei Luojia Laboratory, Wuhan University, Wuhan, China
2. Electronic Information School, Wuhan University, Wuhan, China
Funder
State Key Program of the National Natural Science Foundation of China
National Natural Science Foundation of China
Fundamental Research Funds for the Central Universities
Special Fund of Hubei Luojia Laboratory
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
General Earth and Planetary Sciences,Electrical and Electronic Engineering
Link
http://xplorestaging.ieee.org/ielx7/36/10006360/10246312.pdf?arnumber=10246312
Reference74 articles.
1. Combining deep learning and ontology reasoning for remote sensing image semantic segmentation
2. Large-Scale Machine Learning with Stochastic Gradient Descent
3. DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
4. Deep Residual Learning for Image Recognition
5. Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Cited by 7 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. A two-stream conditional generative adversarial network for improving semantic predictions in urban driving scenes;Engineering Applications of Artificial Intelligence;2024-07
2. High-resolution feature pyramid attention network for high spatial resolution images land-cover classification in arid oasis zones;International Journal of Remote Sensing;2024-05-21
3. DLC: Dynamic Loss Correction for Cross-Domain Remotely Sensed Segmentation;IEEE Transactions on Geoscience and Remote Sensing;2024
4. Video Desnower: An Adaptive Feature Fusion Understanding Video Desnowing Model With Deformable Convolution and KNN Point Cloud Transformer;IEEE Access;2024
5. DA&MTSS: An End-to-End Remote Sensing Image Domain Adaptive Semantic Segmentation Framework Combining Data Augmentation and Mobile Threshold Self-Supervision;IEEE Transactions on Geoscience and Remote Sensing;2024
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