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Shifting Capsule Networks from the Cloud to the Deep Edge. (arXiv:2110.02911v2 [cs.LG] UPDATED)
Web: http://arxiv.org/abs/2110.02911
June 16, 2022, 1:11 a.m. | Miguel Costa, Diogo Costa, Tiago Gomes, Sandro Pinto
cs.LG updates on arXiv.org arxiv.org
Capsule networks (CapsNets) are an emerging trend in image processing. In
contrast to a convolutional neural network, CapsNets are not vulnerable to
object deformation, as the relative spatial information of the objects is
preserved across the network. However, their complexity is mainly related to
the capsule structure and the dynamic routing mechanism, which makes it almost
unreasonable to deploy a CapsNet, in its original form, in a
resource-constrained device powered by a small microcontroller (MCU). In an era
where intelligence …
More from arxiv.org / cs.LG updates on arXiv.org
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