Explore capsule networks for computer vision in this 31-minute tutorial from the CVPR 2019 conference, presented by Sara Sabour from Google. Delve into sparse pattern recognition, clutter handling, and viewpoint equivariance. Learn about coordinate frames, vector formats, and object detection through part prediction agreement. Discover capsule network concepts, including squashed capsules, dynamic routing, and EM routing for Gaussian capsules. Examine the transform, agreement, and assignment steps in routing, and observe how capsule networks generalize viewpoints and handle constellations. Gain insights into this innovative approach to computer vision that addresses limitations of traditional convolutional neural networks.