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
Dynamic Weighted Semantic Correspondence for Few-Shot Image..:
, In:
Proceedings of the 30th ACM International Conference on Multimedia
,
Hou, Xingzhong
;
Liu, Boxiao
;
Zhang, Shuai
... - p. 1214-1222 , 2022
Link:
https://dl.acm.org/doi/10.1145/3503161.3548270
RT T1 <cTitle>Proceedings of the 30th ACM International Conference on Multimedia</cTitle>: T1 <Title>Dynamic Weighted Semantic Correspondence for Few-Shot Image Generative Adaptation</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3548270&Exemplar=1&LAN=DE A1 Hou, Xingzhong A1 Liu, Boxiao A1 Zhang, Shuai A1 Shi, Lulin A1 Jiang, Zite A1 You, Haihang PB ACM YR 2022 K1 few-shot adaptation K1 gan K1 image generation K1 Computing methodologies K1 Artificial intelligence K1 Computer vision K1 Computer vision representations K1 Image representations K1 Machine learning K1 Machine learning approaches K1 Learning latent representations K1 Neural networks SP 1214 OP 1222 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3503161.3548270 DO https://dl.acm.org/doi/10.1145/3503161.3548270 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
