GeoRanker: Distance-Aware Ranking for Worldwide Image Geolocalization

Worldwide image geolocalization--the task of predicting GPS coordinates from images taken anywhere on Earth--poses a fundamental challenge due to the vast diversity in visual content across regions. While recent approaches adopt a two-stage pipeline of retrieving candidates and selecting the best match, they typically rely on simplistic similarity heuristics and point-wise supervision, failing to model spatial relationships among candidates.