AI RESEARCH
DINO-GFSA: Geo-Localization via Semantic Gated Fusion and Mamba-based Sequential Aggregation
arXiv CS.CV
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ArXi:2606.00784v1 Announce Type: new Cross-view geo-localization (CVGL) is critical for Unmanned Aerial Vehicle (UAV) self-positioning and target localization in GNSS-denied environments. However, acquiring robust semantics while preserving finegrained spatial details remains challenging. To address this, we propose DINO-GFSA, a framework leveraging a LoRA (Low-Rank Adaptation) adapted DINOv3 (ViTL) backbone for parameter-efficient, high-capacity representation. Crucially, we