In the digital age, where vast volumes of content are created every second, efficient archiving and retrieval systems are crucial for businesses, researchers, and individuals alike. However, ...

Multimodal industrial documents–such as operation manuals, circuit diagrams, and parameter tables–contain domain knowledge distributed across text, images, and document layout. However, most existing ...

The world of artificial intelligence is evolving at breakneck speed, and at the forefront of this revolution is a technology that's set to redefine how we interact with machines: multimodal AI. This ...

This paper introduces an Multi-Hop Reasoning Framework for Composed Fashion Image Retrieval (CFIR), meticulously designed to overcome the inherent limitations posed by existing single-step and ...

Beijing Zhongke Journal Publising Co. Ltd. With the popularization of social networks, different modalities of data such as images, text, and audio aregrowing rapidly on the Internet. Subsequently, ...

Image-sentence retrieval task aims to search images for given sentences and retrieve sentences from image queries. The current retrieval methods are all supervised methods that require a large number ...

Everybody scrambling to get good at prompt engineering might want to take a look at a couple examples used by Microsoft engineers doing bleeding-edge research into the hot new field of multimodal ...

In the digital age, the ability to find relevant information quickly and accurately has become increasingly critical. From simple web searches to complex enterprise-knowledge management systems, ...