With the emergence of huge amounts of heterogeneous multi-modal data, including images, videos, texts/languages, audios, and multi-sensor data, deep learning-based methods have shown promising ...

A study on visual language models explores how shared semantic frameworks improve image–text understanding across multimodal tasks. By combining feature extraction, joint embedding, and advanced ...