I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
A self-supervised underwater image denoising method based o..:
, In:
2023 5th International Conference on Robotics and Computer Vision (ICRCV)
,
Chen, Shouxu
;
Chen, Shumin
;
Shan, Wencai
. - p. 130-134 , 2023
Link:
https://doi.org/10.1109/ICRCV59470.2023.10329111
RT T1 <cTitle>2023 5th International Conference on Robotics and Computer Vision (ICRCV)</cTitle>: T1 <Title>A self-supervised underwater image denoising method based on pseudo-siamese neural network</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10329111&Exemplar=1&LAN=DE A1 Chen, Shouxu A1 Chen, Shumin A1 Shan, Wencai A1 Xu, Yuanxin YR 2023 K1 Image quality K1 Measurement K1 Visualization K1 PSNR K1 Impurities K1 Neural networks K1 Pose estimation K1 underwater image denoising K1 self-supervised K1 multiscale SP 130 OP 134 LK http://dx.doi.org/https://doi.org/10.1109/ICRCV59470.2023.10329111 DO https://doi.org/10.1109/ICRCV59470.2023.10329111 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
