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
Utilization of Data Augmentation Techniques to Enhance Lear..:
, In:
2022 5th International Conference on Artificial Intelligence for Industries (AI4I)
,
Yarnell, Richard
;
Brignac, Daniel
;
Fu, Yanjie
. - p. 73-73 , 2022
Link:
https://doi.org/10.1109/AI4I54798.2022.00025
RT T1 <cTitle>2022 5th International Conference on Artificial Intelligence for Industries (AI4I)</cTitle>: T1 <Title>Utilization of Data Augmentation Techniques to Enhance Learning with Sparse Datasets</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10123442&Exemplar=1&LAN=DE A1 Yarnell, Richard A1 Brignac, Daniel A1 Fu, Yanjie A1 DeMara, Ronald F. YR 2022 SN 2770-4718 K1 Training K1 Industries K1 Training data K1 Object detection K1 Artificial intelligence K1 Machine Learning K1 You Only Look Once (YOLO) SP 73 OP 73 LK http://dx.doi.org/https://doi.org/10.1109/AI4I54798.2022.00025 DO https://doi.org/10.1109/AI4I54798.2022.00025 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
