Transformer-in-Vision
This project examines the growing significance of Transformer technology in a variety of computer vision applications. It serves as a comprehensive resource, aggregating recent studies from fields like robotics and image processing, and highlighting the essential role of Transformers in AI models. The project outlines innovations such as LLM-in-Vision, and delivers thorough surveys on complex topics, such as multi-modal pre-training and generative adversarial networks, providing readers with insights into this evolving field.
