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
Face Anti-spoofing Method Based on Deep Supervision:
, In:
Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning
,
Wang, Hongxia
;
Liu, Li
;
Jia, Ailing
- p. 102-106 , 2023
Link:
https://dl.acm.org/doi/10.1145/3590003.3590023
RT T1
Proceedings of the 2023 2nd Asia Conference on Algorithms, Computing and Machine Learning
: T1
Face Anti-spoofing Method Based on Deep Supervision
UL https://suche.suub.uni-bremen.de/peid=acm-3590023&Exemplar=1&LAN=DE A1 Wang, Hongxia A1 Liu, Li A1 Jia, Ailing PB ACM YR 2023 K1 Central gradient convolution K1 Deep supervision K1 Depth uncertainty learning K1 Face anti-spoofing K1 Security and privacy K1 Computing methodologies K1 Security services K1 Artificial intelligence K1 Machine learning K1 Computer vision K1 Machine learning approaches K1 Neural networks K1 Computer vision problems K1 Object recognition SP 102 OP 106 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3590003.3590023 DO https://dl.acm.org/doi/10.1145/3590003.3590023 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)