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DenseDisp: Resource-Aware Disparity Map Estimation by Compressing Siamese Neural Architecture

author
Loni, Mohammad
Zoljodi, Ali
Maier, Daniel
Majd, Amin
Daneshtalab, Masoud
Sjödin, Mikael
Juurlink, Ben H.H.
Akbari, Reza
statement of authorship
Mohammad Loni, Ali Zoljodi, Daniel Maier, Amin Majd, Masoud Daneshtalab, Mikael Sjödin, Ben Juurlink, Reza Akbari
source
2020 IEEE Congress on Evolutionary Computation (CEC) : conference proceedings
location of publication
Danvers
publisher
IEEE
year of publication
2020
pages
8 p
conference location
Glasgow, Scotland
url
https://doi.org/10.1109/CEC48606.2020.9185611
subject term
sügavõpe
raalprojekteerimine
tehisnärvivõrgud
keyword
stereo vision systems
deep learning (DL)
multi-objective optimization (MOO)
neural network architecture search
ISBN
978-1-7281-6929-3
notes
Bibliogr.: 39 ref
TTÜ department
arvutisüsteemide instituut
language
inglise
Uurimisrühm
Centre of dependable computing systems
Loni, M., Zoljodi, A., Maier, D., Daneshtalab, M. et al. DenseDisp: Resource-Aware Disparity Map Estimation by Compressing Siamese Neural Architecture // 2020 IEEE Congress on Evolutionary Computation (CEC) : conference proceedings. Danvers : IEEE, 2020. 8 p. https://doi.org/10.1109/CEC48606.2020.9185611