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
ComicLib: A New Large-Scale Comic Dataset for Sketch Unders..:
, In:
2022 International Conference on Digital Image Computing: Techniques and Applications (DICTA)
,
Wei, Xin
;
Zhao, Haifeng
;
Gao, Ziyu
... - p. 1-8 , 2022
Link:
https://doi.org/10.1109/DICTA56598.2022.10034579
RT T1 <cTitle>2022 International Conference on Digital Image Computing: Techniques and Applications (DICTA)</cTitle>: T1 <Title>ComicLib: A New Large-Scale Comic Dataset for Sketch Understanding</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10034579&Exemplar=1&LAN=DE A1 Wei, Xin A1 Zhao, Haifeng A1 Gao, Ziyu A1 Zhang, Yan A1 Zhou, Jun A1 Chen, Zhixiang A1 Lu, Qidi YR 2022 K1 Deep learning K1 Computer vision K1 Annotations K1 Computational modeling K1 Digital images K1 Benchmark testing K1 Libraries K1 Data models K1 Complexity theory K1 Data mining K1 sketch understanding K1 comic dataset K1 annotation platform K1 crowdsourcing SP 1 OP 8 LK http://dx.doi.org/https://doi.org/10.1109/DICTA56598.2022.10034579 DO https://doi.org/10.1109/DICTA56598.2022.10034579 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
