RIM: A Retrieval-In-Matching Framework for Cross-Domain Global Visual Localization of UAVs

arXiv:2607.20116 · cs.CV · Submitted 2026-07-22 · Read on arXiv

cs.CV

Submitted: 2026-07-22

Updated: 2026-09-15

Code: https://github.com/curious-energy/RIM

Terminology

• Adaptation — 43× in this paper · explained in 1 episode
• Aggregation — 30× in this paper · explained in 1 episode
• Benchmark — 29× in this paper · explained in 2 episodes
• Accuracy — 18× in this paper · explained in 1 episode
• Distillation — 18× in this paper · explained in 2 episodes
• Verification — 18× in this paper · explained in 2 episodes
• Ablation — 12× in this paper · explained in 1 episode
• Fine-Tuning — 12× in this paper · explained in 5 episodes
• Conference on Computer Vision and Pattern Recognition — 8× in this paper
• Robustness — 6× in this paper · explained in 5 episodes
• Consistency — 5× in this paper · explained in 3 episodes
• Dynamic Similarity Sampling — 5× in this paper
• International Conference on Computer Vision — 5× in this paper
• Cosine Similarity — 4× in this paper · explained in 3 episodes
• Domain Adaptation — 4× in this paper · explained in 5 episodes
• Self-distillation — 4× in this paper · explained in 6 episodes
• Verifier — 4× in this paper · explained in 2 episodes
• Alignment — 3× in this paper · explained in 1 episode
• Foundation Model — 3× in this paper · explained in 3 episodes
• Transformer — 3× in this paper · explained in 2 episodes
• Core — 2× in this paper · explained in 2 episodes
• Decoupling — 2× in this paper · explained in 2 episodes
• Distribution Shift — 2× in this paper · explained in 5 episodes
• Embeddings — 2× in this paper · explained in 2 episodes
• Foundation Models — 2× in this paper · explained in 7 episodes
• 3D Gaussian Splatting — 1× in this paper · explained in 2 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Decode — 1× in this paper · explained in 2 episodes
• Edge Deployment — 1× in this paper · explained in 2 episodes
• Edge Devices — 1× in this paper · explained in 2 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Gaussian Splatting — 1× in this paper · explained in 4 episodes
• Generative AI — 1× in this paper · explained in 2 episodes
• Optimal Transport — 1× in this paper · explained in 5 episodes
• Overview of the Retrieval-In-Matching — 1× in this paper
• Provenance — 1× in this paper · explained in 3 episodes
• Temporal consistency — 1× in this paper · explained in 2 episodes

Sources

• UAV-VisLoc: A Large-scale Dataset for UAV Visual Localization
• Jointly Optimized Global-Local Visual Localization of UAVs
• MatchAnything: Universal Cross-Modality Image Matching with Large-Scale Pre-Training
• DINOv3

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