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
CIOD: an intelligent class-incremental object detection sys..:
Ren, Sheng
;
He, Yan
;
Wang, Xiaokang
...
Journal of Ambient Intelligence and Humanized Computing. 14 (2022) 8 - p. 10657-10671 , 2022
Link:
https://doi.org/10.1007/s12652-022-04341-7
RT Journal T1 <Title>CIOD: an intelligent class-incremental object detection system with nearest mean of exemplars</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.1007_s12652-022-04341-7&Exemplar=1&LAN=DE A1 Ren, Sheng A1 He, Yan A1 Wang, Xiaokang A1 Guo, Kehua A1 Barra, Silvio A1 Li, Jianqi PB Springer Science and Business Media LLC YR 2022 SN 1868-5137 SN 1868-5145 JF Journal of Ambient Intelligence and Humanized Computing VO 14 IS 8 SP 10657 OP 10671 LK http://dx.doi.org/https://doi.org/10.1007/s12652-022-04341-7 DO https://doi.org/10.1007/s12652-022-04341-7 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
