Why Capsule Neural Networks Do Not Scale: Challenging the Dynamic Parse-Tree Assumption
Why Capsule Neural Networks Do Not Scale: Challenging the Dynamic Parse-Tree Assumption
Capsule neural networks replace simple, scalar-valued neurons with vector-valued capsules. They are motivated by the pattern recognition system in the human brain, where complex objects are decomposed into a hierarchy of simpler object parts. Such a hierarchy is referred to as a parse-tree. Conceptually, capsule neural networks have been defined …