Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: Shifting Capsule Networks from the Cloud to the Deep Edge   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 with
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 is rapidly shifting from the cloud to the edge, this high
complexity imposes serious challenges to the adoption of CapsNets at the very
edge. To tackle this issue, we present an API for the execution of quantized
CapsNets in Cortex-M and RISC-V MCUs. Our software kernels extend the Arm
CMSIS-NN and RISC-V PULP-NN, to support capsule operations with 8-bit integers
as operands. Along with it, we propose a framework to perform post training
quantization of a CapsNet. Results show a reduction in memory footprint of
almost 75%, with a maximum accuracy loss of 1%. In terms of throughput, our
software kernels for the Arm Cortex-M are, at least, 5.70x faster than a
pre-quantized CapsNet running on an NVIDIA GTX 980 Ti graphics card. For
RISC-V, the throughout gain increases to 26.28x and 56.91x for a single- and
octa-core configuration, respectively.

20
The categories of this paper are: acc-phys
24
The categories of this paper are: dg-ga
5
The categories of this paper are: gr-qc
28
The categories of this paper are: alg-geom
26
The categories of this paper are: bayes-an
4
The categories of this paper are: cond-mat
14
The categories of this paper are: math-ph
37
The categories of this paper are: supr-con
17
The categories of this paper are: q-fin
11
The categories of this paper are: hep-lat
9
The categories of this paper are: nlin
12
The categories of this paper are: nucl-th
6
The categories of this paper are: astro-ph
34
The categories of this paper are: chem-ph
7
The categories of this paper are: hep-th
8
The categories of this paper are: hep-ex