AI RESEARCH
Few Shots Text to Image Retrieval: New Benchmarking Dataset and Optimization Methods
arXiv CS.CV
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ArXi:2603.25891v1 Announce Type: new Pre-trained vision-language models (VLMs) excel in multimodal tasks, commonly encoding images as embedding vectors for storage in databases and retrieval via approximate nearest neighbor search (ANNS). However, these models struggle with compositional queries and out-of-distribution (OOD) image-text pairs. Inspired by human cognition's ability to learn from minimal examples, we address this performance gap through few-shot learning approaches specifically designed for image retrieval. We