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
Attention-Based Face AntiSpoofing of RGB Camera using a Min..:
, In:
2020 International Conference on Machine Vision and Image Processing (MVIP)
,
Ghofrani, Ali
;
Toroghi, Rahil Mahdian
;
Mojtaba Tabatabaie, Seyed
- p. 1-6 , 2020
Link:
https://doi.org/10.1109/MVIP49855.2020.9116872
RT T1
2020 International Conference on Machine Vision and Image Processing (MVIP)
: T1
Attention-Based Face AntiSpoofing of RGB Camera using a Minimal End-2-End Neural Network
UL https://suche.suub.uni-bremen.de/peid=ieee-9116872&Exemplar=1&LAN=DE A1 Ghofrani, Ali A1 Toroghi, Rahil Mahdian A1 Mojtaba Tabatabaie, Seyed YR 2020 SN 2166-6784 K1 Performance evaluation K1 Neural networks K1 Cameras K1 Data models K1 Mobile handsets K1 Robustness K1 Servers K1 Face antispoofing K1 Liveness Detection K1 Biometrics K1 CNN Visualization K1 Deep Learning SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/MVIP49855.2020.9116872 DO https://doi.org/10.1109/MVIP49855.2020.9116872 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)