Topic: fusion

A new survey and roadmap for omnimodal embeddings aim to bridge the gap between different modalities (e.g., text, images) in AI research, unifying disparate communities to enhance the performance of embedding models across various applications. This work is crucial as it could lead to more versatile and powerful AI systems that can better understand and process diverse types of data.

arxiv.org↗