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
Contrastive Transformer Learning With Proximity Data Genera..:
Wu, Hefeng
;
Chen, Weifeng
;
Liu, Zhibin
...
IEEE Transactions on Circuits and Systems for Video Technology. 34 (2024) 8 - p. 7005-7016 , 2024
Link:
https://doi.org/10.1109/tcsvt.2023.3329220
RT Journal T1 <Title>Contrastive Transformer Learning With Proximity Data Generation for Text-Based Person Search</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1109_tcsvt.2023.3329220&Exemplar=1&LAN=DE A1 Wu, Hefeng A1 Chen, Weifeng A1 Liu, Zhibin A1 Chen, Tianshui A1 Chen, Zhiguang A1 Lin, Liang PB Institute of Electrical and Electronics Engineers (IEEE) YR 2024 SN 1051-8215 SN 1558-2205 JF IEEE Transactions on Circuits and Systems for Video Technology VO 34 IS 8 SP 7005 OP 7016 LK http://dx.doi.org/https://doi.org/10.1109/tcsvt.2023.3329220 DO https://doi.org/10.1109/tcsvt.2023.3329220 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
