AI RESEARCH
Object-Level Explanations for Image Geolocation Models: a GeoGuessr use-case
arXiv CS.CV
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ArXi:2605.00912v1 Announce Type: new When humans play geolocation games such as GeoGuessr, they rely on concrete visual cues, such as road markings, vegetation, or architectural details, to infer where an image was captured. Whether image geolocation models rely on similar object-level evidence remains difficult to determine, as attribution methods like Grad-CAM typically highlight diffuse regions rather than coherent visual entities, making it difficult to link model predictions to specific objects or perceptible patterns.