USuperGlue: an unsupervised UAV image matching network based on local self-attention
Author:
Publisher
Springer Science and Business Media LLC
Subject
Geometry and Topology,Theoretical Computer Science,Software
Link
https://link.springer.com/content/pdf/10.1007/s00500-023-09088-7.pdf
Reference48 articles.
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3. Aslan MF, Durdu A, Sabanci K (2022) Visual-inertial image-odometry network (VIIONet): a gaussian process regression-based deep architecture proposal for UAV pose estimation. Measurement 194:111030. https://doi.org/10.1016/j.measurement.2022.111030
4. DeTone D, Malisiewicz T, Rabinovich A (2018) Superpoint: self-supervised interest point detection and description. In: Proceedings of the IEEE conference on computer vision and pattern recognition workshops, pp 224–236. https://doi.org/10.48550/arXiv.1712.07629
5. Eckenhoff K, Geneva P, Huang G (2021) MIMC-VINS: a versatile and resilient multi-IMU multi-camera visual-inertial navigation system. IEEE Trans Rob 37:1360–1380. https://doi.org/10.1109/TRO.2021.3049445
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1. PnP-UGCSuperGlue: deep learning drone image matching algorithm for visual localization;The Journal of Supercomputing;2024-05-01
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