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
Deep Learning based vehicle image detection using Yolo V5 w..:
, In:
2024 3rd International Conference on Artificial Intelligence For Internet of Things (AIIoT)
,
Rani, S. Swapna
;
Mudigonda, Aditya
;
Hemanth, S V
... - p. 1-6 , 2024
Link:
https://doi.org/10.1109/AIIoT58432.2024.10574705
RT T1
2024 3rd International Conference on Artificial Intelligence For Internet of Things (AIIoT)
: T1
Deep Learning based vehicle image detection using Yolo V5 with Region-Based Convolutional Neural Network
UL https://suche.suub.uni-bremen.de/peid=ieee-10574705&Exemplar=1&LAN=DE A1 Rani, S. Swapna A1 Mudigonda, Aditya A1 Hemanth, S V A1 Sundararajan, P.N. A1 Reddy, G. Vinoda A1 Amirthayogam, G. YR 2024 K1 YOLO K1 Deep learning K1 Image segmentation K1 Accuracy K1 Surveillance K1 Transportation K1 Transforms K1 vehicles K1 Yolov5 K1 feature selection K1 segmentation K1 Region-Based Convolutional Neural Network (RCNN) K1 information K1 accuracy SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/AIIoT58432.2024.10574705 DO https://doi.org/10.1109/AIIoT58432.2024.10574705 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)