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Laboratoire d'InfoRmatique en Image et Systèmes d'information

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Laboratoire d'InfoRmatique en Image et Systèmes d'information
UMR 5205 CNRS / INSA Lyon / Université Claude Bernard Lyon 1 / Université Lumière Lyon 2 / École Centrale de Lyon
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Anthony Berthelier

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PhD student

Team Feature Extraction and Identification
 
Institution
Location Jules Verne (INSA)
 
E-mail anthony.berthelier at liris.cnrs.fr
Contact details Publications Thesis
 
Subject Technical study of neural networks compression for embedded systems
Abstract Convolutional neural networks are the most efficient solutions for image recognition and object tracking. However, better performances is always followed by more layers in the network which will also increase the computation time. Recent works try to adress this compression problem and to reduce complexity by deleting layers, by decreasing the precision of the weights or by using optimised architectures. The aim of this work is to suggest compression methods that are optimised for mobile archtitectures.
Advisor Stefan Duffner
Advisor Christophe Garcia

Last update : 2018-01-16 15:21:28