AUTHOR=Srinivas Suraj , Sarvadevabhatla Ravi Kiran , Mopuri Konda Reddy , Prabhu Nikita , Kruthiventi Srinivas S. S. , Babu R. Venkatesh TITLE=A Taxonomy of Deep Convolutional Neural Nets for Computer Vision JOURNAL=Frontiers in Robotics and AI VOLUME=2 YEAR=2016 URL=https://www.frontiersin.org/journals/robotics-and-ai/articles/10.3389/frobt.2015.00036 DOI=10.3389/frobt.2015.00036 ISSN=2296-9144 ABSTRACT=

Traditional architectures for solving computer vision problems and the degree of success they enjoyed have been heavily reliant on hand-crafted features. However, of late, deep learning techniques have offered a compelling alternative – that of automatically learning problem-specific features. With this new paradigm, every problem in computer vision is now being re-examined from a deep learning perspective. Therefore, it has become important to understand what kind of deep networks are suitable for a given problem. Although general surveys of this fast-moving paradigm (i.e., deep-networks) exist, a survey specific to computer vision is missing. We specifically consider one form of deep networks widely used in computer vision – convolutional neural networks (CNNs). We start with “AlexNet” as our base CNN and then examine the broad variations proposed over time to suit different applications. We hope that our recipe-style survey will serve as a guide, particularly for novice practitioners intending to use deep-learning techniques for computer vision.