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
SCATTER: Selective Context Attentional Scene Text Recognize:
, In:
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
,
Litman, Ron
;
Anschel, Oron
;
Tsiper, Shahar
... - p. 11959-11969 , 2020
Link:
https://doi.org/10.1109/CVPR42600.2020.01198
RT T1
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
: T1
SCATTER: Selective Context Attentional Scene Text Recognizer
UL https://suche.suub.uni-bremen.de/peid=ieee-9156585&Exemplar=1&LAN=DE A1 Litman, Ron A1 Anschel, Oron A1 Tsiper, Shahar A1 Litman, Roee A1 Mazor, Shai A1 Manmatha, R. YR 2020 SN 2575-7075 K1 Text recognition K1 Decoding K1 Visualization K1 Computer architecture K1 Feature extraction K1 Task analysis K1 Training SP 11959 OP 11969 LK http://dx.doi.org/https://doi.org/10.1109/CVPR42600.2020.01198 DO https://doi.org/10.1109/CVPR42600.2020.01198 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)