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                                       Details for article 20 of 66 found articles
 
 
  Deep Learning based Object Detection via Style-transferred Underwater Sonar Images ⁎ ⁎ This work is supported through a grant from MSIP (No 2015R1C1A2A01052138), IITP grant funded by MSIT (No.2017-0-00067), and a grant from Endowment Project of KRISO (PES9390). Authors are grateful to SonarTech for sharing sample videos for the research.
 
 
Title: Deep Learning based Object Detection via Style-transferred Underwater Sonar Images ⁎ ⁎ This work is supported through a grant from MSIP (No 2015R1C1A2A01052138), IITP grant funded by MSIT (No.2017-0-00067), and a grant from Endowment Project of KRISO (PES9390). Authors are grateful to SonarTech for sharing sample videos for the research.
Author: Lee, Sejin
Park, Byungjae
Kim, Ayoung
Appeared in: IFAC-PapersOnLine
Paging: Volume 52 () nr. 21 pages 152-155
Year: 2019
Contents:
Publisher: Published by Elsevier B.V.
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 20 of 66 found articles
 
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 Koninklijke Bibliotheek - National Library of the Netherlands