This work introduces GeoMEB, a large-scale multimodal embedding benchmark that standardizes 45 urban evaluation tasks across retrieval, visual question answering, change detection, classification, and visual grounding, and presents Geo-Embed, a unified embedding model that adapts a shared vision-language backbone to in...
Jia-Peng Li, Yong Li, Jun-Jie Zhou et al.· 0 citations
These results establish visual geolocation as a continuous diagnostic of scene-text arbitration and provide a controlled framework for evaluating how MLLMs resolve conflicting multimodal evidence.
Sirun Li, Ming-Hao Liu, Ling Dai et al.· 1 citation
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