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
Leveraging Multi-view Data for Improved Detection Performan..:
, In:
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
,
Shamsafar, Faranak
;
Jaiswal, Sunil
;
Kelkel, Benjamin
.. - p. 4464-4471 , 2023
Link:
https://doi.org/10.1109/CVPRW59228.2023.00469
RT T1 <cTitle>2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)</cTitle>: T1 <Title>Leveraging Multi-view Data for Improved Detection Performance: An Industrial Use Case</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10208794&Exemplar=1&LAN=DE A1 Shamsafar, Faranak A1 Jaiswal, Sunil A1 Kelkel, Benjamin A1 Bodduna, Kireeti A1 Illgner-Fehns, Klaus YR 2023 SN 2160-7516 K1 Training K1 Printed circuits K1 Object detection K1 Production K1 Manuals K1 Detectors K1 Pattern recognition SP 4464 OP 4471 LK http://dx.doi.org/https://doi.org/10.1109/CVPRW59228.2023.00469 DO https://doi.org/10.1109/CVPRW59228.2023.00469 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
