Leveraging Query Expansion and Reformulation for Image Retrieval With Large Language and Vision-Language Models

Sandrina Frunză; Stevan Rudinac; Cees Diks

doi:10.1109/cbmi62980.2024.10859227

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Leveraging Query Expansion and Reformulation for Image Retrieval With Large Language and Vision-Language Models

Sandrina Frunză Stevan Rudinac Cees Diks

Year: 2024 Pages: 1-7

DOI: 10.1109/cbmi62980.2024.10859227

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Keywords:

Computer science Query expansion RDF query language Query language Image retrieval Information retrieval Language model Image (mathematics) Artificial intelligence Query optimization Web search query Natural language processing Web query classification Search engine

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Topics

Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Advanced Image and Video Retrieval Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Multimodal Machine Learning Applications

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Leveraging Query Expansion and Reformulation for Image Retrieval With Large Language and Vision-Language Models

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