How to do Everything in Computer Vision

Want to do Computer Vision? Deep Learning is the way to go these days. Large scale datasets plus the representational power of deep Convolutional Neural Networks (CNNs) make for super accurate and robust models. Only one challenge still remains: how to design your model. The many standard tasks in computer vision all require special consideration: classification, detection, segmentation, pose estimation, enhancement and restoration, and action recognition. Although the state-of-the-art networks used for each of them exhibit common patterns, they'll all still need their own unique design twist.