Using SigLIP retrieval to feed a Qwen2-VL or InternVL2 model with similar and dissimilar coordinates yields reported street-level accuracies of 23.2%, 17.1%, and 24.3% on IM2GPS, IM2GPS3k, and YFCC4k.
A faster and more effective cross-view matching method of uav and satellite images for uav geolocalization,
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Street-Level Geolocalization Using Multimodal Large Language Models and Retrieval-Augmented Generation
Using SigLIP retrieval to feed a Qwen2-VL or InternVL2 model with similar and dissimilar coordinates yields reported street-level accuracies of 23.2%, 17.1%, and 24.3% on IM2GPS, IM2GPS3k, and YFCC4k.