Geoclip: Clip-inspired Alignment Between Locations And Images For Effective Worldwide Geo-localization
2023 · Vicente Vivanco Cepeda, Gaurav Kumar Nayak, Mubarak Shah
Abstract
Worldwide Geo-localization aims to pinpoint the precise location of images taken anywhere on Earth. This task has considerable challenges due to immense variation in geographic landscapes. The image-to-image retrieval-based approaches fail to solve this problem on a global scale as it is not feasible to construct a large gallery of images covering the entire world. Instead, existing approaches divide the globe into discrete geographic cells, transforming the problem into a classification task. However, their performance is limited by the predefined classes and often results in inaccurate localizations when an image's location significantly deviates from its class center. To overcome these limitations, we propose GeoCLIP, a novel CLIP-inspired Image-to-GPS retrieval approach that enforces alignment between the image and its corresponding GPS locations. GeoCLIP's location encoder models the Earth as a continuous function by employing positional encoding through random Fourier features an
Authors
(none)
Tags
Stats
Related papers
- G3: An Effective And Adaptive Framework For Worldwide Geolocalization Using Large Multi-modality Models (2024)3.58
- Img2loc: Revisiting Image Geolocalization Using Multi-modality Foundation Models And Image-based Retrieval-augmented Generation (2024)9.23
- Clnet: Cross-view Correspondence Makes A Stronger Geo-localizationer (2025)0.00
- Scaling Image Geo-localization To Continent Level (2025)0.00
- Accurate 3-dof Camera Geo-localization Via Ground-to-satellite Image Matching (2022)12.17
- Geo-localization Via Ground-to-satellite Cross-view Image Retrieval (2022)12.54
- Just Zoom In: Cross-view Geo-localization Via Autoregressive Zooming (2026)0.00
- VIGOR: Cross-view Image Geo-localization Beyond One-to-one Retrieval (2020)21.49