Improving Deep Subdomain Adaptation by Dual-Branch Network Embedding Attention Module for SAR Ship Classification
Author:
Affiliation:
1. College of Mathematics and Physics, Beijing University of Chemical Technology, Beijing, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Atmospheric Science,Computers in Earth Sciences
Link
http://xplorestaging.ieee.org/ielx7/4609443/9656571/09893336.pdf?arnumber=9893336
Reference52 articles.
1. Deeply-fused nets;wang,2016
2. Joint Robust Transfer Metric and Adaptive Transfer Function Learning
3. Deep Subdomain Adaptation Network for Image Classification
4. Transfer Learning for SAR Image Classification Via Deep Joint Distribution Adaptation Networks
5. Multi-representation adaptation network for cross-domain image classification
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. Fault Diagnosis Using Imbalanced Data of Rolling Bearings Based on a Deep Migration Model;IEEE Access;2024
2. Transfer Adaptation Learning for Target Recognition in SAR Images: A Survey;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024
3. A Unified Multiple Proxy Deep Metric Learning Framework Embedded With Distribution Optimization for Fine-Grained Ship Classification in Remote Sensing Images;IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing;2024
4. Multi-Scale Alignment Domain Adaptation for Ship Classification in Multi-Resolution SAR Images;IEEE Transactions on Automation Science and Engineering;2024
5. Improved Three-Dimensional Inception Networks for Hyperspectral Remote Sensing Image Classification;IEEE Access;2023
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