This article discusses the rapid advancement of computer vision and deep learning in various applications, such as security, human activity recognition, and medical diagnoses. It highlights the need for novel techniques to capture and process high-dimensional data in real-time, utilizing recent advances in deep learning and parallel computing. The article also calls for contributions to a Special Issue on innovative techniques and applications in computer vision and deep learning.
