Image Language

Image-language research focuses on bridging the gap between visual and linguistic information, aiming to create models that understand and generate descriptions of images and videos. Current efforts concentrate on improving generalization across different data distributions, developing efficient training methods for large models (like CLIP and its variants), and adapting these models for various tasks such as video understanding, robotic control, and even emotional reasoning. This interdisciplinary field is significant for advancing artificial intelligence, enabling applications ranging from improved image retrieval and captioning to more sophisticated human-computer interaction and robotic manipulation.