Object Detection in Remote Sensing Images With Parallel Feature Fusion and Cascade Global Attention Head-Reference-Cited by-同舟云学术

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Object Detection in Remote Sensing Images With Parallel Feature Fusion and Cascade Global Attention Head

Published:2024 Issue: Volume:21 Page:1-5
ISSN:1545-598X
Container-title:IEEE Geoscience and Remote Sensing Letters
language:
Short-container-title:IEEE Geosci. Remote Sensing Lett.

Author:

Yang Zhigang¹^ORCID,Liu Yiming¹^ORCID,Wen Guiwei¹,Xia Xiangyu¹,Zhang Wei Emma²^ORCID,Chen Tao¹^ORCID

Affiliation:

1. Key Laboratory of Advanced Marine Communication and Information Technology, Ministry of Industry and Information Technology, College of Information and Communication Engineering, Harbin Engineering University, Harbin, China

2. School of Computer Science, The University of Adelaide, Adelaide, SA, Australia

Funder

National Natural Science Foundation of China

Aeronautical Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/8859/10365397/10491287.pdf?arnumber=10491287

Reference22 articles.

1. Next Day Wildfire Spread: A Machine Learning Dataset to Predict Wildfire Spreading From Remote-Sensing Data

2. Oriented R-CNN for Object Detection

3. Feature Pyramid Networks for Object Detection

4. Path Aggregation Network for Instance Segmentation

5. NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection

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