A global-local feature adaptive fusion network for image scene classification-Reference-Cited by-同舟云学术

登录注册会员服务联系我们

A global-local feature adaptive fusion network for image scene classification

Published:2023-06-10 Issue:3 Volume:83 Page:6521-6554
ISSN:1380-7501
Container-title:Multimedia Tools and Applications
language:en
Short-container-title:Multimed Tools Appl

Author:

Lv Guangrui,Dong Lili^ORCID,Zhang Wenwen,Xu Wenhai

Funder

Fundamental Research Funds for the Central Universities

Ministry of Industry and Information Technology of the People’s Republic of China

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Hardware and Architecture,Media Technology,Software

Link

https://link.springer.com/content/pdf/10.1007/s11042-023-15519-2.pdf

Reference78 articles.

1. Anwer RM, Khan FS, van de Weijer J et al (2018) Binary patterns encoded convolutional neural networks for texture recognition and remote sensing scene classification. ISPRS J Photogrammetry Rem Sens 138:74–85

2. Basiri ME, Nemati S, Abdar M et al (2021) ABCDM: an attention-based bidirectional CNN-RNN deep model for sentiment analysis. Futur Gener Comput Syst 115:279–294

3. Bay H, Tuytelaars T, Van Gool L (2006) Surf: speeded up robust features, European conference on computer vision. Springer, Berlin, pp 404–417

4. Bi Q, Qin K, Li Z et al (2019) Multiple instance dense connected convolution neural network for aerial image scene classification. In: 2019 IEEE International conference on image processing (ICIP). IEEE, pp 2501–2505

5. Bi Q, Qin K, Zhang H et al (2019) APDC-Net: attention pooling-based convolutional network for aerial scene classification. IEEE Geosci Rem Sens Lett 17(9):1603–1607

同舟云学术

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