SOURCE-LINKED INTELLIGENCE
Towards Active Cross-View Object Geo-Localization
Cross-view object geo-localization (CVOGL) typically assumes a fixed query image, overlooking the ability of mobile agents to actively acquire more informative observations. To address this limitation, we introduce Active Cross-View Object Geo-Localization (ActiveGeo), where an agent sequentially selects new viewpoints and determines when to stop, aiming to improve localization with minimal observations. We further propose ActiveMoPT, an ActiveGeo framework with three-stage training. First, Multi-View Prompt-Preserving Adaptation enables the model to aggregate multiple query views while reusin
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-17T04:03:29.000Z
First collected: 2026-09-19T20:28:21.856Z. This is not the publication date.