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
TEACH: Attention-Aware Deep Cross-Modal Hashing:
, In:
Proceedings of the 2021 International Conference on Multimedia Retrieval
,
Yao, Hong-Lei
;
Zhan, Yu-Wei
;
Chen, Zhen-Duo
.. - p. 376-384 , 2021
Link:
https://dl.acm.org/doi/10.1145/3460426.3463625
RT T1
Proceedings of the 2021 International Conference on Multimedia Retrieval
: T1
TEACH: Attention-Aware Deep Cross-Modal Hashing
UL https://suche.suub.uni-bremen.de/peid=acm-3463625&Exemplar=1&LAN=DE A1 Yao, Hong-Lei A1 Zhan, Yu-Wei A1 Chen, Zhen-Duo A1 Luo, Xin A1 Xu, Xin-Shun PB ACM YR 2021 K1 attention K1 cross-modal retrieval K1 deep learning K1 hashing K1 Information systems K1 Information retrieval K1 Specialized information retrieval K1 Multimedia and multimodal retrieval K1 Computing methodologies K1 Artificial intelligence K1 Computer vision K1 Computer vision tasks K1 Visual content-based indexing and retrieval K1 Machine learning K1 Learning paradigms SP 376 OP 384 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3460426.3463625 DO https://dl.acm.org/doi/10.1145/3460426.3463625 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)