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
Exploring the Adversarial Robustness of Video Object Segmen..:
, In:
Proceedings of the 31st ACM International Conference on Multimedia
,
Jiang, Kaixun
;
Hong, Lingyi
;
Chen, Zhaoyu
... - p. 8598-8607 , 2023
Link:
https://dl.acm.org/doi/10.1145/3581783.3611827
RT T1 <cTitle>Proceedings of the 31st ACM International Conference on Multimedia</cTitle>: T1 <Title>Exploring the Adversarial Robustness of Video Object Segmentation via One-shot Adversarial Attacks</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3611827&Exemplar=1&LAN=DE A1 Jiang, Kaixun A1 Hong, Lingyi A1 Chen, Zhaoyu A1 Guo, Pinxue A1 Tao, Zeng A1 Wang, Yan A1 Zhang, Wenqiang PB ACM YR 2023 K1 adversarial robustness K1 one-shot attack. K1 video object segmentation K1 Computing methodologies K1 Artificial intelligence K1 Computer vision K1 Computer vision problems K1 Video segmentation SP 8598 OP 8607 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3581783.3611827 DO https://dl.acm.org/doi/10.1145/3581783.3611827 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
