A practical guide to the four strategies of agentic adaptation, from "plug-and-play" components to full model retraining.

Introduction: The quality of gastrointestinal endoscopy is verified by documenting specific required images, but identifying these images from the numerous photographs captured during a procedure is ...

Medical visual-language alignment plays an important role in hospital diagnostic data analysis and patient health prediction. However, existing multimodal alignment models, such as CLIP, while ...

Miller Reynolds is a Journalist and Writer with a strong passion for gaming and writing news. Awarded the Excellence in Writing and Production Award while attending Loyalist College, Miller is ...

Abstract: Composed Image Retrieval (CIR) is a vision-language task utilizing queries comprising images and textual descriptions to achieve precise image retrieval. This task seeks to find images that ...

Abstract: In the context of real-world IoT implementations, the delivery of images within blockchain environments is becoming increasingly crucial. However, the multi-table hashing technologies ...

A multimodal image search engine built on the GME model, capable of handling diverse input types. Whether you're querying with text, images, or both, provides powerful and flexible image retrieval ...

While generative modeling has become prevalent across numerous research fields, its integration into the realm of image retrieval remains largely unexplored and underjustified. In this paper, we ...