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Intro
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Classroom Contents
Introduction to Capsule Networks for Computer Vision
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- 1 Intro
- 2 Exercise
- 3 Sparse Pattern Recognition
- 4 Clutter
- 5 How can we handle different viewpoints?
- 6 Viewpoint Equivariance
- 7 What stays constant?
- 8 Coordinate frame
- 9 How to work in this vector format?
- 10 How can we detect objects?
- 11 How to detect objects? • An object exists if there is agreement between multiple part predictions
- 12 Agreement and Assignment
- 13 Capsule Network
- 14 Squashed Capsules: Agreement
- 15 Squashed Capsules: Assignment Dynamic Routing
- 16 New visual symbols for clarity
- 17 EM routing for Gaussian Capsules
- 18 Transform
- 19 Agreement (M step)
- 20 Assignment (Estep)
- 21 Routing in action
- 22 Viewpoint generalization
- 23 Constellations
