Text2Pic Swift: Enhancing Long-Text to Image Retrieval for Large-Scale Libraries

arXiv:2402.15276v1 Announce Type: cross
Abstract: Text-to-image retrieval plays a crucial role across various applications, including digital libraries, e-commerce platforms, and multimedia databases, by enabling the search for images using text queries. Despite the advancements in Multimodal Large Language Models (MLLMs), which offer leading-edge performance, their applicability in large-scale, varied, and ambiguous retrieval scenarios is constrained by significant computational demands and the generation of injective embeddings. This paper introduces the Text2Pic Swift framework, tailored for efficient and robust retrieval of images …

abstract applications arxiv commerce cs.ai cs.cv cs.ir databases digital e-commerce e-commerce platforms edge enabling image images language language models large language large language models libraries mllms multimedia multimodal performance platforms queries retrieval role scale search swift text text-to-image type