GeoRefer-Bench: A Benchmark from Referring Pixels to Verifiable Geospatial Reasoning

arXiv:2609.29541 · cs.CV, cs.AI · Submitted 2026-08-25 · Read on arXiv

cs.CV, cs.AI

Submitted: 2026-08-25

Updated: 2026-09-28

Code: https://github.com/anticipate218/GeoRefer-Bench

Terminology

• Benchmark — 27× in this paper · explained in 2 episodes
• Accuracy — 12× in this paper · explained in 1 episode
• Grounding — 11× in this paper · explained in 3 episodes
• Conference on Computer Vision and Pattern Recognition — 7× in this paper
• Provenance — 5× in this paper · explained in 4 episodes
• Consistency — 4× in this paper · explained in 3 episodes
• Error Taxonomy — 3× in this paper · explained in 2 episodes
• Transformer — 3× in this paper · explained in 2 episodes
• Alignment — 2× in this paper · explained in 1 episode
• CVF International Conference on Computer Vision — 2× in this paper
• European Conference on Computer Vision — 2× in this paper
• Exact Query Success — 2× in this paper
• Verification — 2× in this paper · explained in 2 episodes
• Visual Grounding — 2× in this paper · explained in 2 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 4 episodes
• Calibration — 1× in this paper · explained in 7 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• Graph Construction — 1× in this paper · explained in 3 episodes
• Instance Segmentation — 1× in this paper · explained in 3 episodes
• Pseudo-labels — 1× in this paper · explained in 2 episodes
• Robustness — 1× in this paper · explained in 5 episodes

Sources

• Cross-Modal Bidirectional Interaction Model for Referring Remote Sensing Image Segmentation
• SegEarth-R1: Geospatial Pixel Reasoning via Large Language Model
• A Large-Scale Referring Remote Sensing Image Segmentation Dataset and Benchmark

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