Confidence-Driven Region Mixing for Optical Remote Sensing Domain Adaptation Object Detection-Reference-Cited by-同舟云学术

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Confidence-Driven Region Mixing for Optical Remote Sensing Domain Adaptation Object Detection

Published:2024 Issue: Volume:62 Page:1-14
ISSN:0196-2892
Container-title:IEEE Transactions on Geoscience and Remote Sensing
language:
Short-container-title:IEEE Trans. Geosci. Remote Sensing

Author:

Liu Chang¹^ORCID,Dong Yanni²^ORCID,Zhang Yuxiang¹^ORCID,Li Xue³^ORCID

Affiliation:

1. School of Geophysics and Geomatics, China University of Geosciences, Wuhan, China

2. School of Resource and Environmental Sciences and Hubei Luojia Laboratory, Wuhan University, Wuhan, China

3. Southwest China Institute of Electronic Technology, Chengdu, Sichuan, China

Funder

National Natural Science Foundation of China

Open Fund of Hubei Luojia Laboratory

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/36/10354519/10568180.pdf?arnumber=10568180

Reference61 articles.

1. Rapid object detection using a boosted cascade of simple features

2. Histograms of Oriented Gradients for Human Detection

3. Object extraction and revision by image analysis using existing geodata and knowledge: current status and steps towards operational systems

4. 50 Years of object recognition: Directions forward

5. Fast R-CNN

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