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Dealing With Highly Unbalanced Sidescan Sonar Image Datasets for Deep Learning Classification Tasks

Steiniger, Yannik and Stoppe, Jannis and Meisen, Tobias and Kraus, Dieter (2020) Dealing With Highly Unbalanced Sidescan Sonar Image Datasets for Deep Learning Classification Tasks. Proc. of the IEEE Int. Conf. on Oceanic Engineering (Global Oceans 2020), Singapore - U.S. Gulf Coast (Online Event).

Full text not available from this repository.

Official URL: https://ieeexplore.ieee.org/document/9389373


Item URL in elib:https://elib.dlr.de/139710/
Document Type:Conference or Workshop Item (Speech)
Title:Dealing With Highly Unbalanced Sidescan Sonar Image Datasets for Deep Learning Classification Tasks
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Steiniger, YannikYannik.Steiniger (at) dlr.dehttps://orcid.org/0000-0002-9327-446X
Stoppe, Jannisjannis.stoppe (at) dlr.deUNSPECIFIED
Meisen, TobiasUniversity of WuppertalUNSPECIFIED
Kraus, DieterCity Univertity of Applied Sciences BremenUNSPECIFIED
Date:October 2020
Refereed publication:No
Open Access:No
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Deep Learning, Generative Adversarial Networks, Sidescan Sonar
Event Title:Proc. of the IEEE Int. Conf. on Oceanic Engineering (Global Oceans 2020)
Event Location:Singapore - U.S. Gulf Coast (Online Event)
Event Type:international Conference
HGF - Research field:other
HGF - Program:other
HGF - Program Themes:other
DLR - Research area:no assignment
DLR - Program:no assignment
DLR - Research theme (Project):no assignment
Location: Bremerhaven
Institutes and Institutions:Institute for the Protection of Maritime Infrastructures > Maritime Security Technologies
Deposited By: Steiniger, Yannik
Deposited On:18 Dec 2020 15:21
Last Modified:19 Apr 2021 08:39

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