- Python 3.6
- GPU Memory >= 8G
- Numpy > 1.12.1
- Pytorch 0.3+
- scipy == 1.2.1
- imgaug == 0.4.0
Download University-1652 upon request. You may use the request template.
Download CVUSA.
sh run.sh
python prepare_cvusa.py
sh run_cvusa.sh
@ARTICLE{wang2024Muse,
title={Multiple-environment Self-adaptive Network for Aerial-view Geo-localization},
author={Wang, Tingyu and Zheng, Zhedong and Sun, Yaoqi and Yan, Chenggang and Yang, Yi and Tat-Seng Chua},
journal = {Pattern Recognition},
volume = {152},
pages = {110363},
year = {2024},
doi = {https://doi.org/10.1016/j.patcog.2024.110363}}@ARTICLE{wang2021LPN,
title={Each Part Matters: Local Patterns Facilitate Cross-View Geo-Localization},
author={Wang, Tingyu and Zheng, Zhedong and Yan, Chenggang and Zhang, Jiyong and Sun, Yaoqi and Zheng, Bolun and Yang, Yi},
journal={IEEE Transactions on Circuits and Systems for Video Technology},
year={2022},
volume={32},
number={2},
pages={867-879},
doi={10.1109/TCSVT.2021.3061265}}@article{zheng2020university,
title={University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization},
author={Zheng, Zhedong and Wei, Yunchao and Yang, Yi},
journal={ACM Multimedia},
year={2020}
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