An Orthogonal Fusion of Local and Global Features for Drone-based Geo-localization

Author:

Zhan Tian1ORCID,Zhang Cheng1ORCID,You Sibo1ORCID,Sun Kai1ORCID,Su Di2ORCID

Affiliation:

1. Beijing Institute of Technology, Beijing, China

2. National Institute of Extremely-Weak Magnetic Field Infrastructure, Hangzhou, China

Publisher

ACM

Reference49 articles.

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3. Michael M Bronstein , Alexander M Bronstein , Fabrice Michel , and Nikos Paragios . 2010. Data fusion through cross-modality metric learning using similarity-sensitive hashing. In 2010 IEEE computer society conference on computer vision and pattern recognition . IEEE , 3594--3601. Michael M Bronstein, Alexander M Bronstein, Fabrice Michel, and Nikos Paragios. 2010. Data fusion through cross-modality metric learning using similarity-sensitive hashing. In 2010 IEEE computer society conference on computer vision and pattern recognition. IEEE, 3594--3601.

4. A Part-aware Attention Neural Network for Cross-view Geo-localization between UAV and Satellite;Bui Duc Viet;Journal of Robotics, Networking and Artificial Life,2022

5. Bingyi Cao , Andre Araujo , and Jack Sim . 2020 . Unifying deep local and global features for image search. In Computer Vision--ECCV 2020: 16th European Conference, Glasgow, UK, August 23--28, 2020 , Proceedings, Part XX 16 . Springer, 726--743. Bingyi Cao, Andre Araujo, and Jack Sim. 2020. Unifying deep local and global features for image search. In Computer Vision--ECCV 2020: 16th European Conference, Glasgow, UK, August 23--28, 2020, Proceedings, Part XX 16. Springer, 726--743.

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