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
Robust DeepFake Detection Method based on Ensemble of ViT a..:
, In:
Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing
,
Ha, Hyunsoo
;
Kim, Minsang
;
Han, Songhun
. - p. 1092-1095 , 2023
Link:
https://dl.acm.org/doi/10.1145/3555776.3577769
RT T1 <cTitle>Proceedings of the 38th ACM/SIGAPP Symposium on Applied Computing</cTitle>: T1 <Title>Robust DeepFake Detection Method based on Ensemble of ViT and CNN</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3577769&Exemplar=1&LAN=DE A1 Ha, Hyunsoo A1 Kim, Minsang A1 Han, Songhun A1 Lee, Sangjun PB ACM YR 2023 K1 DeepFake detection K1 video manipulation K1 CNN K1 vision transformer K1 weighted voting ensemble K1 Computing methodologies K1 Artificial intelligence K1 Computer vision K1 Computer vision problems SP 1092 OP 1095 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3555776.3577769 DO https://dl.acm.org/doi/10.1145/3555776.3577769 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
