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Posts by Collection
portfolio
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publications
Rotation-Invariant Feature Enhancement with Dual-Aspect Loss for Arbitrary-Oriented Object Detection in Remote Sensing
Published in May 7, 2025
This paper proposes RFE-FCOS, which focuses on improving object detection in remote sensing imagery by incorporating multi-angle rotation-invariant learning. The method significantly enhances detection performance, particularly for arbitrarily oriented objects, achieving robust results on the DIOR-R and HRSC2016 benchmarks.
talks
Talk 1 on Relevant Topic in Your Field
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Conference Proceeding talk 3 on Relevant Topic in Your Field
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teaching
Teaching experience 1
Undergraduate course, University 1, Department, 2014
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Teaching experience 2
Workshop, University 1, Department, 2015
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