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
Artificial Fish-Eye Image Augmentation Approach for CNN Bas..:
, In:
2024 IEEE 11th Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE)
,
Broks, Maris
;
Telicko, Jevgenijs
;
Jakovics, Andris
- p. 1-6 , 2024
Link:
https://doi.org/10.1109/AIEEE62837.2024.10586656
RT T1
2024 IEEE 11th Workshop on Advances in Information, Electronic and Electrical Engineering (AIEEE)
: T1
Artificial Fish-Eye Image Augmentation Approach for CNN Based Object Detection
UL https://suche.suub.uni-bremen.de/peid=ieee-10586656&Exemplar=1&LAN=DE A1 Broks, Maris A1 Telicko, Jevgenijs A1 Jakovics, Andris YR 2024 SN 2689-7342 K1 Training K1 Neural networks K1 Training data K1 Object detection K1 Cameras K1 Distortion K1 Image augmentation K1 Image Augmentation K1 Data processing K1 Object Detection K1 Convolutional neural networks SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/AIEEE62837.2024.10586656 DO https://doi.org/10.1109/AIEEE62837.2024.10586656 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)