Open-SAT refines query embeddings with LLMs to improve open-vocabulary object retrieval in satellite imagery, raising F1 scores by up to 16.04% on three benchmarks while keeping retrieval counts similar.
Patternnet: A benchmark dataset for performance evaluation of remote sensing image retrieval.ISPRS journal of photogrammetry and remote sensing, 145:197–209, 2018
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Open-SAT: LLM-Guided Query Embedding Refinement for Open-Vocabulary Object Retrieval in Satellite Imagery
Open-SAT refines query embeddings with LLMs to improve open-vocabulary object retrieval in satellite imagery, raising F1 scores by up to 16.04% on three benchmarks while keeping retrieval counts similar.