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
Two-stage metric learning for cross-modality person re-iden..:
, In:
Proceedings of the 5th International Conference on Multimedia and Image Processing
,
Wang, Jiabao
;
Jiao, ShanShan
;
Li, Yang
. - p. 28-32 , 2020
Link:
https://dl.acm.org/doi/10.1145/3381271.3381285
RT T1
Proceedings of the 5th International Conference on Multimedia and Image Processing
: T1
Two-stage metric learning for cross-modality person re-identification
UL https://suche.suub.uni-bremen.de/peid=acm-3381285&Exemplar=1&LAN=DE A1 Wang, Jiabao A1 Jiao, ShanShan A1 Li, Yang A1 Miao, Zhuang PB ACM YR 2020 K1 metric learning K1 mixed-modality K1 person re-identification K1 triplet loss K1 two-stage learning K1 Computing methodologies K1 Artificial intelligence K1 Computer vision K1 Computer vision problems K1 Object identification K1 Computer vision representations K1 Image representations SP 28 OP 32 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3381271.3381285 DO https://dl.acm.org/doi/10.1145/3381271.3381285 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)