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arXiv · 2307.10212

Capsule network with shortcut routing

Dang Thanh Vu·Vo Hoang Trong·Yu Gwang-Hyun·Kim Jin-Young
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Abstract

This study introduces "shortcut routing," a novel routing mechanism in capsule networks that addresses computational inefficiencies by directly activating global capsules from local capsules, eliminating intermediate layers. An attention-based approach with fuzzy coefficients is also explored for improved efficiency. Experimental results on Mnist, smallnorb, and affNist datasets show comparable classification performance, achieving accuracies of 99.52%, 93.91%, and 89.02% respectively. The proposed fuzzy-based and attention-based routing methods significantly reduce the number of calculations by 1.42 and 2.5 times compared to EM routing, highlighting their computational advantages in capsule networks. These findings contribute to the advancement of efficient and accurate hierarchical pattern representation models.

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Dang Thanh Vu, Vo Hoang Trong, Yu Gwang-Hyun, Kim Jin-Young. 2023-07-14. Capsule network with shortcut routing. https://doi.org/10.1587/transfun.2020eap1101

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