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
RankDVQA: Deep VQA based on Ranking-inspired Hybrid Trainin:
, In:
2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
,
Feng, Chen
;
Danier, Duolikun
;
Zhang, Fan
. - p. 1637-1647 , 2024
Link:
https://doi.org/10.1109/WACV57701.2024.00167
RT T1 <cTitle>2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)</cTitle>: T1 <Title>RankDVQA: Deep VQA based on Ranking-inspired Hybrid Training</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10484488&Exemplar=1&LAN=DE A1 Feng, Chen A1 Danier, Duolikun A1 Zhang, Fan A1 Bull, David YR 2024 SN 2642-9381 K1 Training K1 Measurement K1 Deep learning K1 Correlation K1 Databases K1 Source coding K1 Network architecture K1 Algorithms K1 Low-level and physics-based vision K1 Datasets and evaluations SP 1637 OP 1647 LK http://dx.doi.org/https://doi.org/10.1109/WACV57701.2024.00167 DO https://doi.org/10.1109/WACV57701.2024.00167 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
