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Compression and Speed-up of Convolutional Neural Networks Through Dimensionality Reduction for Efficient Inference on Embedded Multiprocessor

L. Fernandez-Brillet 1, 2 N. Leclaire 1, 2 Stéphane Mancini 2 M. Nicolas 1 S. Cleyet-Merle 1 J.P. Henriques 1 C. Delnondedieu 1 
2 CDSI - Circuits, Devices and System Integration
TIMA - Techniques de l'Informatique et de la Microélectronique pour l'Architecture des systèmes intégrés
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https://hal.archives-ouvertes.fr/hal-03115158
Contributor : Laurence BEN TITO Connect in order to contact the contributor
Submitted on : Tuesday, January 19, 2021 - 2:21:16 PM
Last modification on : Friday, April 1, 2022 - 3:44:04 AM

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Distributed under a Creative Commons Attribution - NonCommercial 4.0 International License

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  • HAL Id : hal-03115158, version 1

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UGA | CNRS | TIMA

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L. Fernandez-Brillet, N. Leclaire, Stéphane Mancini, M. Nicolas, S. Cleyet-Merle, et al.. Compression and Speed-up of Convolutional Neural Networks Through Dimensionality Reduction for Efficient Inference on Embedded Multiprocessor. Journal of Signal Processing Systems, Springer, 2021. ⟨hal-03115158⟩

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