Loni, M., Zoljodi, A., Maier, D., Daneshtalab, M. et al.

full record print

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

ISBN

978-1-7281-6929-3

notes

Bibliogr.: 39 ref

TTÜ department

arvutisüsteemide instituut

language

inglise

Märksõnad ja võtmesõnad

subject term

sügavõpe

raalprojekteerimine

tehisnärvivõrgud

keyword

stereo vision systems

deep learning (DL)

multi-objective optimization (MOO)

neural network architecture search

Reserch Group

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