AINeutralarXiv – CS AI · 6h ago6/10
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Open-SAT: LLM-Guided Query Embedding Refinement for Open-Vocabulary Object Retrieval in Satellite Imagery
Researchers introduce Open-SAT, a training-free algorithm that uses Large Language Models to refine query embeddings for satellite image retrieval tasks. The method improves upon existing vision-language models by leveraging LLM-guided contextual refinement at inference time, achieving up to 16% F1 score improvement on open-vocabulary satellite imagery tasks without requiring additional training.