Offset Regression Enhanced Cross-View Feature Interaction for Ground-to-Aerial Geo-localization

L Cheng, T Wang, J Li, C Sun - IEEE Transactions on Intelligent …, 2024 - ieeexplore.ieee.org
Cross-view geo-localization has great potential in the field of autonomous driving for
vehicles. Existing methods on ground-to-aerial geo-localization show two main limitations …

Dehi: A decoupled hierarchical architecture for unaligned ground-to-aerial geo-localization

T Wang, J Li, C Sun - … Transactions on Circuits and Systems for …, 2023 - ieeexplore.ieee.org
Ground-to-aerial (G2A) geo-localization remains extremely challenging due to the drastic
appearance and geometry differences between ground and aerial views, especially when …

Cross-view geo-localization with evolving transformer

H Yang, X Lu, Y Zhu - arXiv preprint arXiv:2107.00842, 2021 - arxiv.org
In this work, we address the problem of cross-view geo-localization, which estimates the
geospatial location of a street view image by matching it with a database of geo-tagged …

Cross-view geo-localization with layer-to-layer transformer

H Yang, X Lu, Y Zhu - Advances in Neural Information …, 2021 - proceedings.neurips.cc
In this work, we address the problem of cross-view geo-localization, which estimates the
geospatial location of a street view image by matching it with a database of geo-tagged …

Bridging Viewpoints in Cross-view Geo-Localization with Siamese Vision Transformer

WJ Ahn, SY Park, DS Pae, HD Choi… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Cross-view geo-localization (CVGL) aims to determine the locations of ground-view images
using corresponding aerial views. However, the inherent differences in the viewpoints and …

Aligning Geometric Spatial Layout in Cross-View Geo-Localization via Feature Recombination

Q Zhang, Y Zhu - Proceedings of the AAAI Conference on Artificial …, 2024 - ojs.aaai.org
Cross-view geo-localization holds significant potential for various applications, but drastic
differences in viewpoints and visual appearances between cross-view images make this …

Lending orientation to neural networks for cross-view geo-localization

L Liu, H Li - Proceedings of the IEEE/CVF conference on …, 2019 - openaccess.thecvf.com
This paper studies image-based geo-localization (IBL) problem using ground-to-aerial cross-
view matching. The goal is to predict the spatial location of a ground-level query image by …

Transformer-guided convolutional neural network for cross-view geolocalization

T Wang, S Fan, D Liu, C Sun - arXiv preprint arXiv:2204.09967, 2022 - arxiv.org
Ground-to-aerial geolocalization refers to localizing a ground-level query image by matching
it to a reference database of geo-tagged aerial imagery. This is very challenging due to the …

Learning spatial-aware cross-view embeddings for ground-to-aerial geolocalization

R Cao, J Zhu, Q Li, Q Zhang, Q Li, B Liu… - Image and Graphics: 10th …, 2019 - Springer
Image-based geolocalization is an important alternative to GPS-based localization in GPS-
denied situations. Among them, ground-to-aerial geolocalization is particularly promising but …

Unleashing Unlabeled Data: A Paradigm for Cross-View Geo-Localization

G Li, M Qian, GS Xia - … of the IEEE/CVF Conference on …, 2024 - openaccess.thecvf.com
This paper investigates the effective utilization of unlabeled data for large-area cross-view
geo-localization (CVGL) encompassing both unsupervised and semi-supervised settings …