SOURCE-LINKED INTELLIGENCE

UniGeo: A Multi-modal Large Language Model for Text-Guided Cross-View Geo-Localization

arXiv · AI, language, vision and robotics · article · Aug 27, 2026 · UTC

Text-guided drone geo-localization aims to identify a target region in a large-scale image gallery from a natural-language description. Existing methods mainly formulate this task as direct matching between an open-ended text query and candidate images. However, incomplete queries and highly similar candidates often make global cross-modal matching insufficient for reliable fine-grained localization. We propose UniGeo, a unified multimodal large language model (MLLM) for text-guided drone geo-localization. Built on a shared vision-language framework, UniGeo jointly supports geo-semantic unders

Read original source ↗ Open in workspace

recordType

paper

region

Global