Capsule Networks for Computer Vision – CVPR 2019 Tutorial

Explore the cutting-edge world of Capsule Networks in this comprehensive CVPR 2019 tutorial from the University of Central Florida. Delve into the challenges of computer vision, including patterns, occlusion, and generalization. Learn about the unique architecture of Capsule Networks, their assignment and routing mechanisms, and how they relate to coordinate frames. Discover practical applications through examples, evaluations, and assignments. Investigate advanced topics such as auto-encoders, inverse graphics, and deep capsule networks. Gain insights into problem domains and applications, including relation extraction. This in-depth tutorial provides a thorough understanding of Capsule Networks and their potential to revolutionize computer vision tasks.

Introduction
Welcome
Agenda
Challenge
Patterns
Occlusion
Generalizing
Coordinate Frames
Capsule Networks Architecture
Capsule Networks Assignment
Cluster Tasks
Decoder
Examples
Evaluation
Assignments
Test
Auto Encoder
Scale
Recap
Outline
Inverse Graphics
Dynamic trotting
Scalability
Routing
Extreme Sense
Modalities
Deep Capsule Networks
Problem Domains
Applications
Relation Extraction