CO-Detector: Towards Complex Object Detection with Cross-Part Feature Learning in Remote Sensing-Reference-Cited by-同舟云学术

CO-Detector: Towards Complex Object Detection with Cross-Part Feature Learning in Remote Sensing

Published:2023-07-16 Issue: Volume: Page:
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Container-title:IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Yuan Shuai¹,Zheng Juepeng²,Huang Yanlong¹,Liu Jierui¹,Fu Haohuan³,Cheung Ray C. C.¹

Affiliation:

1. City University of Hong Kong,Department of Electric Engineering,Hong Kong,China

2. Sun Yet-Sun University,School of Artificial Intelligence,Zhuhai,China

3. Tsinghua University,Ministry of Education Key Laboratory for Earth System Modeling,Department of Earth System Science,Beijing,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10281394/10281399/10282790.pdf?arnumber=10282790

Reference14 articles.

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2. Ssd: Single shot multibox detector;liu;Computer Vision–ECCV 2016 14th European Conference Amsterdam The Netherlands October 11 – 14 2016 Proceedings Part I 14,2016

3. Libra R-CNN: Towards Balanced Learning for Object Detection

4. MUREN: MUltistage Recursive Enhanced Network for Coal-Fired Power Plant Detection

5. Deep learning based fossil-fuel power plant monitoring in high resolution remote sensing images: A comparative study;zhang;Remote Sensing,2019

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