Apr 18, 2022 · We propose a Multiple-environment Self-adaptive Network (MuSe-Net) to dynamically adjust the domain shift caused by environmental changing.

Pytorch implementation of Multiple-environment Self-adaptive Network for Aerial-view Geo-localization.

Feb 25, 2024 · Aerial-view geo-localization tends to determine an unknown position through matching the drone-view image with the geo-tagged satellite-view ...

Jul 17, 2024 · Aerial-view geo-localization tends to determine an unknown position through matching the drone-view image with the geo-tagged satellite-view ...

Multiple-environment Self-adaptive Network for Aerial-view Geo-localization. Authors: tingyu-wang Tingyu Wang, Zhedong Zheng, Yaoqi Sun, chenggang-yan ...

Multiple-environment Self-adaptive Network for aerial-view geo-localization · journal article · research article · Published by Elsevier in Pattern Recognition.

Mar 30, 2024 · To our interest, these three studies focus on the inability of specific weather combinations to adapt to new weather types.

Liu, H. Li, Lending orientation to Neural Networks for Cross-view Geo-localization, in: IEEE Conference on Computer Vision and Pattern Recognition, 2019.

You may check our new paper "Multiple-environment Self-adaptive Network for Aerial-view Geo-localization" at https://github.com/wtyhub/MuseNet (accepted by ...

Oct 28, 2024 · Our method can effectively match multi-environment drone-view images with satellite images and achieve competitive accuracy on University160k-WX.