Corpus ID: 218869852

Revisiting Street-to-Aerial View Image Geo-localization and Orientation Estimation

@article{Zhu2020RevisitingSV,
  title={Revisiting Street-to-Aerial View Image Geo-localization and Orientation Estimation},
  author={S. Zhu and Taojiannan Yang and Chen Chen},
  journal={ArXiv},
  year={2020},
  volume={abs/2005.11592}
}
  • S. Zhu, Taojiannan Yang, Chen Chen
  • Published 2020
  • Computer Science
  • ArXiv
  • Street-to-aerial image geo-localization, which matches a query street-view image to the GPS-tagged aerial images in a reference set, has attracted increasing attention recently. In this paper, we revisit this problem and point out the ignored issue about image alignment information. We show that the performance of a simple Siamese network is highly dependent on the alignment setting and the comparison of previous works can be unfair if they have different assumptions. Instead of focusing on the… CONTINUE READING

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 31 REFERENCES
    Optimal Feature Transport for Cross-View Image Geo-Localization
    • 9
    • PDF
    Localizing and Orienting Street Views Using Overhead Imagery
    • 84
    • Highly Influential
    • PDF
    Cross-View Image Geolocalization
    • 62
    • PDF
    CVM-Net: Cross-View Matching Network for Image-Based Ground-to-Aerial Geo-Localization
    • 40
    • Highly Influential
    • PDF
    Lending Orientation to Neural Networks for Cross-View Geo-Localization
    • 12
    • Highly Influential
    • PDF
    Wide-Area Image Geolocalization with Aerial Reference Imagery
    • 108
    • PDF
    Ground-to-Aerial Image Geo-Localization With a Hard Exemplar Reweighting Triplet Loss
    • 4
    • Highly Influential
    • PDF
    Predicting Ground-Level Scene Layout from Aerial Imagery
    • 55
    • Highly Influential
    • PDF
    Bridging the Domain Gap for Ground-to-Aerial Image Matching
    • 13
    • Highly Influential
    • PDF
    Image Geo-Localization Based on MultipleNearest Neighbor Feature Matching UsingGeneralized Graphs
    • 121
    • PDF