mlsanityData to 14 Oct 2026

Statewide Visual Geolocalization in the Wild

arXiv 2409.16763 ↗First posted 25 Sep 2024cs.CVcited by 12

Not on the map. Why?

Abstract (arXiv)

This work presents a method that is able to predict the geolocation of a street-view photo taken in the wild within a state-sized search region by matching against a database of aerial reference imagery. We partition the search region into geographical cells and train a model to map cells and corresponding photos into a joint embedding space that is used to perform retrieval at test time. The model utilizes aerial images for each cell at multiple levels-of-detail to provide sufficient information about the surrounding scene. We propose a novel layout of the search region with consistent cell resolutions that allows scaling to large geographical regions. Experiments demonstrate that the method successfully localizes 60.6% of all non-panoramic street-view photos uploaded to the crowd-sourcing platform Mapillary in the state of Massachusetts to within 50m of their ground-truth location. Source code is available at https://github.com/fferflo/statewide-visual-geolocalization.

Key facts. Cited by 12 papers in the map (data through 14 Oct 2026). Builds on 39 of its 66 references that are in the map. First posted on arXiv 25 Sep 2024.

Builds on

39 of 66 references.

References · 39

  1. 2017Attention Is All You Needcited by 60,361
  2. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,744
  3. 2022A ConvNet for the 2020scited by 3,579
  4. 2017Accurate, Large Minibatch SGD: Training ImageNet in 1 Hourcited by 1,492
  5. 2015NetVLAD: CNN architecture for weakly supervised place recognitioncited by 941
  6. 2016Efficient and robust approximate nearest neighbor search using Hierarchical Navigable Small World graphscited by 861
  7. 2021ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networkscited by 293
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  9. 2020VIGOR: Cross-View Image Geo-localization beyond One-to-one Retrievalcited by 189
  10. 2015Wide-Area Image Geolocalization with Aerial Reference Imagerycited by 186
  11. 2019Lending Orientation to Neural Networks for Cross-view Geo-localizationcited by 180
  12. 2022TransGeo: Transformer Is All You Need for Cross-view Image Geo-localizationcited by 168
27 more
  1. 2022Rethinking Visual Geo-localization for Large-Scale Applicationscited by 163
  2. 2023MixVPR: Feature Mixing for Visual Place Recognitioncited by 161
  3. 2021Decoupled Contrastive Learningcited by 143
  4. 2016PlaNet - Photo Geolocation with Convolutional Neural Networkscited by 115
  5. 2023EigenPlaces: Training Viewpoint Robust Models for Visual Place Recognitioncited by 111
  6. 2023Sample4Geo: Hard Negative Sampling For Cross-View Geo-Localisationcited by 110
  7. 2016Localizing and Orienting Street Views Using Overhead Imagerycited by 94
  8. 2022GSV-Cities: Toward Appropriate Supervised Visual Place Recognitioncited by 93
  9. 2022Beyond Cross-view Image Retrieval: Highly Accurate Vehicle Localization Using Satellite Imagecited by 88
  10. 2022Deep Visual Geo-localization Benchmarkcited by 84
  11. 2023OrienterNet: Visual Localization in 2D Public Maps with Neural Matchingcited by 84
  12. 2017Revisiting IM2GPS in the Deep Learning Eracited by 80
  13. 2022Cross-view Geo-localization via Learning Disentangled Geometric Layout Correspondencecited by 70
  14. 2018CPlaNet: Enhancing Image Geolocalization by Combinatorial Partitioning of Mapscited by 68
  15. 2022Where in the World is this Image? Transformer-based Geo-localization in the Wildcited by 58
  16. 2023Where We Are and What We're Looking At: Query Based Worldwide Image Geo-localization Using Hierarchies and Scenescited by 55
  17. 2022Uncertainty-aware Vision-based Metric Cross-view Geolocalizationcited by 54
  18. 2022Visual Cross-View Metric Localization with Dense Uncertainty Estimatescited by 48
  19. 2022SliceMatch: Geometry-guided Aggregation for Cross-View Pose Estimationcited by 46
  20. 2023Boosting 3-DoF Ground-to-Satellite Camera Localization Accuracy via Geometry-Guided Cross-View Transformercited by 45
  21. 2023SNAP: Self-Supervised Neural Maps for Visual Positioning and Semantic Understandingcited by 38
  22. 2023Simple, Effective and General: A New Backbone for Cross-view Image Geo-localizationcited by 37
  23. 2023Convolutional Cross-View Pose Estimationcited by 36
  24. 2022Cross-View Image Sequence Geo-localizationcited by 31
  25. 2022GAMa: Cross-view Video Geo-localizationcited by 23
  26. 2023View Consistent Purification for Accurate Cross-View Localizationcited by 15
  27. 2023Divide&Classify: Fine-Grained Classification for City-Wide Visual Place Recognitioncited by 2

Built on by

Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 1; 2025: 3; 2026: 8.

12 papers.

  1. 2025FG2: Fine-Grained Cross-View Localization by Fine-Grained Feature Matchingcited by 27
  2. 2025Scaling Image Geo-Localization to Continent Levelcited by 10
  3. 2024Cross-View Image Set Geo-Localizationcited by 6
  4. 2026Just Zoom In: Cross-View Geo-Localization via Autoregressive Zoomingcited by 1
  5. 2026RHO: Robust Holistic OSM-Based Metric Cross-View Geo-Localizationcited by 1
  6. 2026SeqLoc: Beyond the Single Frame for Cross-View Geo-Localization in Feature-Sparse Scenescited by 1
  7. 2025TARDIS STRIDE: A Spatio-Temporal Road Image Dataset and World Model for Autonomycited by 0
  8. 2026Cross-View Splatter: Feed-Forward View Synthesis with Georeferenced Imagescited by 0
  9. 2026X2Localizer: Cross-grained Alignment for Progressive Cross-view Video Geo-localizationcited by 0
  10. 2026OpenCVL: An Open, Diverse, and Large-Scale Dataset for Fine-Grained Cross-View Localizationcited by 0
  11. 2026AutoCompass: Accurate Visual Localization on Public Maps by Learning from Weak Labelscited by 0
  12. 2026M3GA-Wild: A Large-Scale Dataset and Benchmark for Multi-Modal Multi-session Ground-to-Aerial Place Recognition in Forestscited by 0