Oriented Object Detection
Oriented Object Detection is an object detection paradigm in geospatial computer vision that localizes objects with oriented bounding boxes parameterized by center coordinates, dimensions, and rotation angle, thereby distinguishing itself from axis-aligned detection through its ability to accurately model arbitrarily oriented instances in aerial and satellite imagery.
184
Publications
20.8K
Citations
645
Authors
150
Institutions
Publications per year
2017–2026
163
Parents
184
Multi-view 3D Object Detection Network for Autonomous Driving
Xiaozhi Chen, Huimin Ma, Ji Wan et al. · 2017 · 3.4K citations
Learning RoI Transformer for Oriented Object Detection in Aerial Images
Jian Ding, Nan Xue, Yang Long et al. · 2019 · 1.5K citations
PIXOR: Real-time 3D Object Detection from Point Clouds
Bin Yang, Wenjie Luo, Raquel Urtasun · 2018 · 1.3K citations
Align Deep Features for Oriented Object Detection
Jiaming Han, Jian Ding, Jie Li et al. · IEEE Transactions on Geoscience and Remote Sensing · 2021 · 957 citations
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150
University of Chinese Academy of Sciences
Beijing, China
16 h-index
61 publications
7.6K citations
Wuhan University
Wuhan, China
14 h-index
46 publications
15K citations

Northwestern Polytechnical University
Xi'an, China
13 h-index
50 publications
6K citations

Chinese Academy of Sciences
Beijing, China
12 h-index
41 publications
2.4K citations

Beijing Institute of Technology
Beijing, China
12 h-index
48 publications
4.7K citations

Shanghai Jiao Tong University
Shanghai, China
12 h-index
27 publications
3.3K citations

Xidian University
Xi'an, China
9 h-index
40 publications
1.9K citations

Huazhong University of Science and Technology
Wuhan, China
8 h-index
37 publications
8.2K citations
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34 publications · 3.6K citations
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20 publications · 764 citations
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Repository · 22 publications · 1.2K citations
15
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GRSL · 10 publications · 606 citations
9
h-index
7 publications · 196 citations
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