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
Fully Shareable Scene Text Recognition Modeling for Horizon..:
, In:
2022 IEEE International Conference on Image Processing (ICIP)
,
Orihashi, Shota
;
Yamazaki, Yoshihiro
;
Uchida, Mihiro
.. - p. 2636-2640 , 2022
Link:
https://doi.org/10.1109/ICIP46576.2022.9897836
RT T1 <cTitle>2022 IEEE International Conference on Image Processing (ICIP)</cTitle>: T1 <Title>Fully Shareable Scene Text Recognition Modeling for Horizontal and Vertical Writing</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9897836&Exemplar=1&LAN=DE A1 Orihashi, Shota A1 Yamazaki, Yoshihiro A1 Uchida, Mihiro A1 Takashima, Akihiko A1 Masumura, Ryo YR 2022 SN 2381-8549 K1 Training K1 Image recognition K1 Text recognition K1 Asia K1 Writing K1 Predictive models K1 Transformers K1 Scene text recognition K1 horizontal and vertical writing K1 Transformer SP 2636 OP 2640 LK http://dx.doi.org/https://doi.org/10.1109/ICIP46576.2022.9897836 DO https://doi.org/10.1109/ICIP46576.2022.9897836 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
