Cross-View Geo-Localisation

Description from the archive archive 2025-07-28.

Benchmarks archive 2025-07-28

6 leaderboard tables shown for this task, 6 with rows (a “benchmark” on this site is a table with at least one row, as on /sota), ordered by row count. “Best model” is the first row in the archive's own order at snapshot; nothing is re-ranked here and metric direction is not recorded in the archive. PwC's Trend sparklines are not in the archive, so that column is omitted.

Syntology column: samples harvested from the paper's repositories and executed on synthesized fixtures; “ran” is not a correctness claim and does not order the table. A dash means no Syntology record for that paper, not a recorded non-run. Read from the graph 2026-09-24.

Libraries

Not in the archive: the export carries no per-task library table, so there is nothing to show at snapshot 2025-07-28.

Datasets archive 2025-07-28

4 datasets whose archive record lists this task, ordered by the archive's paper count.

Subtasks archive 2025-07-28

No subtask under this task in the archive's task tree.

Parent tasks archive 2025-07-28

Most implemented papers archive 2025-07-28

9 shown of 9 papers with code (9 tagged with this task in all), ordered by repositories listed in the archive, not by stars (the archive holds no stars, so PwC's “Social” and “Latest” sorts cannot be reproduced). Papers without a page here are shown as plain text.

• The StreetLearn Environment and Dataset
  4 Mar 2019 2 repositories listed Syntology ran 0 of 3 samples · 3 unverified
  These datasets cannot be used for decision-making and reinforcement learning, however, and in general the perspective of navigation as an interactive learning task, where the actions and behaviours of a learning agent…
• GeoVLM: Improving Automated Vehicle Geolocalisation Using Vision-Language Matching
  19 May 2025 1 repository listed
  To address this challenge, this paper proposes GeoVLM, a novel approach which uses the zero-shot capabilities of vision language models to enable cross-view geo-localisation using interpretable cross-view language…
• PEnG: Pose-Enhanced Geo-Localisation
  24 Nov 2024 1 repository listed
  To solve this limitation, we propose combining cross-view geo-localisation and relative pose estimation to increase precision to a level practical for real-world application.
• CV-Cities: Advancing Cross-View Geo-Localization in Global Cities
  19 Nov 2024 1 repository listed Syntology ran 0 of 9 samples · 9 unverified
  Cross-view geo-localization (CVGL), which involves matching and retrieving satellite images to determine the geographic location of a ground image, is crucial in GNSS-constrained scenarios.
• SpaGBOL: Spatial-Graph-Based Orientated Localisation
  23 Sep 2024 1 repository listed
  SpaGBOL achieves state-of-the-art accuracies on the unseen test graph - with relative Top-1 retrieval improvements on previous techniques of 11%, and 50% when filtering with Bearing Vector Matching on the SpaGBOL…
• BEV-CV: Birds-Eye-View Transform for Cross-View Geo-Localisation
  23 Dec 2023 1 repository listed
  Cross-view image matching for geo-localisation is a challenging problem due to the significant visual difference between aerial and ground-level viewpoints.
• Sample4Geo: Hard Negative Sampling For Cross-View Geo-Localisation
  21 Mar 2023 1 repository listed Syntology ran 1 of 1 samples · 0 unverified · 1 pointer-only (licence)
  In this article, we present a simplified but effective architecture based on contrastive learning with symmetric InfoNCE loss that outperforms current state-of-the-art results.
• VIGOR: Cross-View Image Geo-localization beyond One-to-one Retrieval
  24 Nov 2020 1 repository listed Syntology ran 4 of 5 samples · 1 unverified · 1 pointer-only (licence)
  In this paper, we redefine this problem with a more realistic assumption that the query image can be arbitrary in the area of interest and the reference images are captured before the queries emerge.
• Where am I looking at? Joint Location and Orientation Estimation by Cross-View Matching
  8 May 2020 1 repository listed
  Cross-view geo-localization is the problem of estimating the position and orientation (latitude, longitude and azimuth angle) of a camera at ground level given a large-scale database of geo-tagged aerial (e.

Syntology lines on 4 of the papers shown; no Syntology record for the others (a paper without an arXiv id cannot be joined to the graph, and absence from the graph layer is not a recorded non-run). “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. Read from the graph 2026-09-24.