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
Pedestrian Detection Based on Deep Learning:
, In:
IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society
,
Jeon, Hyung-Min
;
Nguyen, Vinh Dinh
;
Jeon, Jae Wook
- p. 144-151 , 2019
Link:
https://doi.org/10.1109/IECON.2019.8927417
RT T1
IECON 2019 - 45th Annual Conference of the IEEE Industrial Electronics Society
: T1
Pedestrian Detection Based on Deep Learning
UL https://suche.suub.uni-bremen.de/peid=ieee-8927417&Exemplar=1&LAN=DE A1 Jeon, Hyung-Min A1 Nguyen, Vinh Dinh A1 Jeon, Jae Wook YR 2019 SN 2577-1647 K1 Machine learning K1 Feature extraction K1 Histograms K1 Neural networks K1 Automobiles K1 Autonomous vehicles K1 Learning systems K1 Pedestrian Detection K1 Deep Learning K1 Local Patterns K1 Machine Learning K1 Computer Vision SP 144 OP 151 LK http://dx.doi.org/https://doi.org/10.1109/IECON.2019.8927417 DO https://doi.org/10.1109/IECON.2019.8927417 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)