Learning to compute inner consensus - A noble approach to modeling agreement between Capsules.
Year: 2019
Type: preprint
Abstract: This project considers Capsule Networks, a recently introduced machine learning model that has shown promising results regarding generalization and preservation of spatial information with few parameters. The Capsule Network's inner routing procedures thus far proposed, a priori, establish how the routing relations are modeled, which limits the expressiveness of the underlying model. In this project, we propose two distinct ways in which the routing procedure can be learned like any other network parameter.
Source: arXiv (Cornell University)
Author: Gonçalo S. Faria
Institution: University of Lisbon
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2976675450