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 ...

With demand for enterprise retrieval augmented generation (RAG) on the rise, the opportunity is ripe for model providers to offer their take on embedding models. French AI company Mistral threw its ...

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 ...

Abstract: With the growing number of images generated daily in radiological practices and the digitization of historical studies, we face large databases where metadata can be incomplete or incorrect.

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 ...