Publication Details

Hardware and Software Optimizations for Capsule Networks

MARCHISIO Alberto, BUSSOLINO Beatrice, COLUCCI Alessio, MRÁZEK Vojtěch, HANIF Muhammad A., MARTINA Mauricio, MASERA Guido and SHAFIQUE Muhammad. Hardware and Software Optimizations for Capsule Networks. Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing. Cham: Springer Nature Switzerland AG, 2023, pp. 303-328. ISBN 978-3-031-39932-9.
Czech title
Optimalizace hardwaru a softwaru pro kapsulové sítě
Type
book chapter
Language
english
Authors
Marchisio Alberto (TU-Wien)
Bussolino Beatrice (POLITO)
Colucci Alessio (TU-Wien)
Mrázek Vojtěch, Ing., Ph.D. (DCSY FIT BUT)
Hanif Muhammad A. (TU-Wien)
Martina Mauricio (POLITO)
Masera Guido (POLITO)
Shafique Muhammad (TU-Wien)
Keywords

capsule networks, hardware, software, neural architecture search

Abstract

Among advanced Deep Neural Network models, Capsule Networks (CapsNets) have shown high learning and generalization capabilities for advanced tasks. Their capability to learn hierarchical information of features makes them appealing in many applications. However, their compute-intensive nature poses several challenges for their deployment on resource-constrained devices. This chapter provides an optimization flow at the software and at the hardware level for improving the energy efficiency of the CapsNets' execution. 

Published
2023
Pages
303-328
Book
Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing
ISBN
978-3-031-39932-9
Publisher
Springer Nature Switzerland AG
Place
Cham, CH
DOI
EID Scopus
BibTeX
@INBOOK{FITPUB13318,
   author = "Alberto Marchisio and Beatrice Bussolino and Alessio Colucci and Vojt\v{e}ch Mr\'{a}zek and A. Muhammad Hanif and Mauricio Martina and Guido Masera and Muhammad Shafique",
   title = "Hardware and Software Optimizations for Capsule Networks",
   pages = "303--328",
   booktitle = "Embedded Machine Learning for Cyber-Physical, IoT, and Edge Computing",
   year = 2023,
   location = "Cham, CH",
   publisher = "Springer Nature Switzerland AG",
   ISBN = "978-3-031-39932-9",
   doi = "10.1007/978-3-031-39932-9\_12",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/13318"
}
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