Mining Oriented Information for Semi-Supervised Object Detection in Remote Sensing Images
Author:
Affiliation:
1. Beihang University,School of Astronautics,Department of Aerospace Information Engineering,Beijing,China
2. Qingdao Research Institute of Beihang University,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10649807/10649898/10650864.pdf?arnumber=10650864
Reference39 articles.
1. Dense Learning based Semi-Supervised Object Detection
2. Humble Teachers Teach Better Students for Semi-Supervised Object Detection
3. Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results;Tarvainen;Advances in neural information processing systems,2017
4. Semi-Supervised Object Detection in Remote Sensing Images Based on Active Learning
5. Fixmatch: Simplifying semi-supervised learning with consistency and confidence;Sohn;Advances in neural information processing systems,2020
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