Recent Advances in Modern Computer Vision

In the last 50 years, computers have learned to count and classify but still weren't able to see until now. Today, as of 2019, the field of computer vision is rapidly flourishing, holding vast potential to alleviate everything from healthcare disparities to mobility limitations on a global scale. In recent years, we have seen great success in Computer Vision built on top of AlexNet or similar CNN based architectures as a backbone. It's true that the process is modeled after the human brain in terms of how it learns; a network of learning units called neurons learn how to convert input signals such as a picture of a house into corresponding output signals like the label'house'. For more details regarding this see my previous blog.