Machine Learning Techniques For Computer Vision

This article discusses the advancements in computer vision and its applications in enhancing wireless networks, human-computer interaction, and high-stakes decision making. It also highlights the need for interpretable deep learning models and the use of self-supervised learning and transfer learning to address the lack of labeled data. The article also mentions the impact of computer vision on autonomous vehicles, augmented reality, and smart cities.