Capsule Network

2000년 도입 · 논문 180편에서 사용

A capsule is an activation vector that basically executes on its inputs some complex internal computations. Length of these activation vectors signifies the probability of availability of a feature. Furthermore, the condition of the recognized element is encoded as the direction in which the vector is pointing. In traditional, CNN uses Max pooling for invariance activities of neurons, which is nothing except a minor change in input and the neurons of output signal will remains same.

출처: Dynamic Routing Between Capsules

소개 논문: Dynamic Routing Between Capsules