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Designing Compact Convolutional Neural Network for Embedded Stereo Vision Systems

author
statement of authorship
Mohammad Loni, Amin Majd, Abdolah Loni, Masoud Daneshtalab, Mikael Sjödin, Elena Troubitsyna
source
2018 IEEE 12th International Symposium on Embedded Multicore/Many-core Systems-on-Chip : MCSoC 2018 : proceedings
location of publication
Los Alamitos, California, Washington, Tokyo
publisher
year of publication
pages
p. 244–251 : ill
conference name, date
2018 IEEE 12th International Symposium on Embedded Multicore/Many-core Systems-on-Chip MCSoC 2018, 12-14 Sept. 2018
conference location
Hanoi, Vietnam
url
ISBN
978-1-5386-6689-0
notes
Bibliogr.: 34 ref
TTÜ department
language
inglise
subject term
keyword
neural network architecture search
deep convolutional neural network
neural processing unit
stereo vision systems
Reserch Group
Centre of dependable computing systems
Loni, M., Majd, A., Loni, A., Daneshtalab, M., Sjödin, M., Troubitsyna, E. Designing Compact Convolutional Neural Network for Embedded Stereo Vision Systems // 2018 IEEE 12th International Symposium on Embedded Multicore/Many-core Systems-on-Chip : MCSoC 2018 : proceedings. Los Alamitos, California, Washington, Tokyo : IEEE, 2018. p. 244–251 : ill. https://doi.org/10.1109/MCSoC2018.2018.00049