Stacked capsule autoencoders
Objects are composed of a set of geometrically organized parts. We introduce an unsupervised capsule autoencoder (SCAE), which explicitly uses geometric relationships between parts to reason about objects. Since these relationships do not depend on the viewpoint, our model is robust to viewpoint cha...
Main Authors: | , , , , |
---|---|
Format: | Conference item |
Language: | English |
Published: |
Nueral Information Processing Systems
2019
|