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
A CAM-Enhancing Generative Person Re-ID Method Based Global..:
, In:
2023 IEEE International Conference on Image Processing (ICIP)
,
Li, Angze
;
Mao, Shasha
;
Xiong, Lin
... - p. 2355-2359 , 2023
Link:
https://doi.org/10.1109/ICIP49359.2023.10222135
RT T1 <cTitle>2023 IEEE International Conference on Image Processing (ICIP)</cTitle>: T1 <Title>A CAM-Enhancing Generative Person Re-ID Method Based Global and Local Features</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10222135&Exemplar=1&LAN=DE A1 Li, Angze A1 Mao, Shasha A1 Xiong, Lin A1 Qi, Mengnan A1 Gou, Shuiping A1 Jiao, Licheng YR 2023 K1 Image segmentation K1 Pedestrians K1 Person Re-identification K1 Generative Adversarial Networks K1 Grad-CAM K1 Pedestrian Segmentation SP 2355 OP 2359 LK http://dx.doi.org/https://doi.org/10.1109/ICIP49359.2023.10222135 DO https://doi.org/10.1109/ICIP49359.2023.10222135 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
