Trends in Computer Vision: From Research to Reality

This chapter examines the transition of computer vision technologies from academia to practical applications, focusing on innovations like image synthesis and autonomous driving. It highlights the accessibility of vision tools through APIs and addresses the challenges in achieving fully autonomous vehicles while emphasizing the importance of multitask learning and uncertainty quantification. The discussion envisions future advancements in the field, particularly in integrating vision with robotics to tackle complex real-world issues.