We use the length of the activity vector to represent the probability that the entity exists and its orientation to represent the instantiation parameters. Active capsules at one level make predictions, via transformation matrices, for the instantiation parameters of higher-level capsules. When multiple predictions agree, a higher level capsule becomes active.
|Task||Dataset||Model||Metric name||Metric value||Global rank||Compare|
|Image Classification||MultiMNIST||CapsNet||Percentage error||5.2||# 1|