Capsules and Routing-by-Agreement Sample Clauses

Capsules and Routing-by-Agreement. A capsule consists of a group of neurons that depicts the properties of various entities present in an image. Such properties are captured while training, and they are automat- ically selected as more representative for the recognition of the entities. There could be various properties like position, size, texture. Capsule output is a vector that is obtained by the ac- tivation value of each neuron that composes the capsule. This is the activation vector and it is used in the routing-by- agreement procedure where the activation vector at lower layer is sent to all capsules at a higher layer. The activation vector of each capsule of the higher layer makes predictions for the parent capsule. The routing mechanism compares the higher layer prediction with the activation vector of the parent capsule and if the activation vectors matches, there is an agreement and the coupling coefficient between the two capsules is increased.
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Related to Capsules and Routing-by-Agreement

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