Geometric Feature Mapping is a feature mapping method that specifically integrates geometric structures or spatial relationships—such as manifolds, distances, or symmetries—into the representation learning process to preserve or exploit the intrinsic geometry of data.
50
Publications
2.4K
Citations
182
Authors
63
Institutions
Publications per year
2017–2026
24
Parents
Publications
50
Deformable ConvNet with Aspect Ratio Constrained NMS for Object Detection in Remote Sensing Imagery
Zhaozhuo Xu, Xin Xu, Lei Wang et al. · Remote Sensing · 2017 · 122 citations · Full text
1–5 of 50
Authors
182
- HY
3
h-index
- KX
3
h-index
- ZQ
3
h-index
- YG
2
h-index
- HS
2
h-index
1–5 of 182
Institutions
63
Wuhan University
Wuhan, China
4 h-index
21 publications
914 citations
Centre National de la Recherche Scientifique
Paris, France
3 h-index
4 publications
223 citations
Sun Yat-sen University
Guangzhou, China
3 h-index
6 publications
835 citations
Technical University of Munich
Munich, Germany
2 h-index
3 publications
905 citations
Peking University
Beijing, China
2 h-index
7 publications
322 citations
Zhejiang University
Hangzhou, China
2 h-index
9 publications
399 citations
National University of Defense Technology
Changsha, China
2 h-index
11 publications
3.6K citations
Carnegie Mellon University
Pittsburgh, United States
2 h-index
2 publications
50 citations
1–8 of 63
Venues
- Robotics and Computer-Integrated Manufacturing
2 publications · 71 citations
2
h-index
- Remote Sensing
2 publications · 184 citations
2
h-index
- arXiv (Cornell University)
Repository · 2 publications · 60 citations
2
h-index
- Construction Research Congress 2014
Conference · 1 publications · 23 citations
1
h-index
- IEEE Transactions on Intelligent Transportation Systems
1 publications · 41 citations
1
h-index
1–5