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
GroupFace: Learning Latent Groups and Constructing Group-Ba..:
, In:
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
,
Kim, Yonghyun
;
Park, Wonpyo
;
Roh, Myung-Cheol
. - p. 5620-5629 , 2020
Link:
https://doi.org/10.1109/CVPR42600.2020.00566
RT T1
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
: T1
GroupFace: Learning Latent Groups and Constructing Group-Based Representations for Face Recognition
UL https://suche.suub.uni-bremen.de/peid=ieee-9157159&Exemplar=1&LAN=DE A1 Kim, Yonghyun A1 Park, Wonpyo A1 Roh, Myung-Cheol A1 Shin, Jongju YR 2020 SN 2575-7075 K1 Face recognition K1 Face K1 Machine learning K1 Training K1 Measurement K1 Labeling K1 Computational modeling SP 5620 OP 5629 LK http://dx.doi.org/https://doi.org/10.1109/CVPR42600.2020.00566 DO https://doi.org/10.1109/CVPR42600.2020.00566 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)