Central to the looming paradigm shift toward data-intensive science, machine-learning
techniques are becoming increasingly important. In particular, deep learning has proven to …

The employment of unmanned aerial vehicles (UAVs) has greatly facilitated the lives of
humans. Due to the mass manufacturing of consumer unmanned aerial vehicles and the …

The goal of cross-view image based geo-localization is to determine the location of a given
street view image by matching it against a collection of geo-tagged satellite images. This …

Abstract Cross-View Geo-Localisation is still a challenging task where additional modules,
specific pre-processing or zooming strategies are necessary to determine accurate positions …

We consider the problem of cross-view geo-localization. The primary challenge is to learn
the robust feature against large viewpoint changes. Existing benchmarks can help, but are …

This paper addresses the problem of vehicle-mounted camera localization by matching a
ground-level image with an overhead-view satellite map. Existing methods often treat this …

In this paper, we develop a new deep network to explicitly address these inherent
differences between ground and aerial views. We observe there exist some approximate …

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 …

The problem of localization on a geo-referenced aerial/satellite map given a query ground
view image remains challenging due to the drastic change in viewpoint that causes …

In this paper, we study the cross-view geo-localization problem to match images from
different viewpoints. The key motivation underpinning this task is to learn a discriminative …