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
Traffic sign classification network using inception module:
, In:
2019 14th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)
,
Dongfang, Zhao
;
Wenjing, Kang
;
Tao, Li
. - p. 1881-1890 , 2019
Link:
https://doi.org/10.1109/ICEMI46757.2019.9101433
RT T1 <cTitle>2019 14th IEEE International Conference on Electronic Measurement & Instruments (ICEMI)</cTitle>: T1 <Title>Traffic sign classification network using inception module</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9101433&Exemplar=1&LAN=DE A1 Dongfang, Zhao A1 Wenjing, Kang A1 Tao, Li A1 Gongliang, Liu YR 2019 K1 Convolutional neural networks K1 Training K1 Feature extraction K1 Convolution K1 Conferences K1 Instruments K1 Convolutional neural network K1 Advanced Inception Module K1 Parameters Reduction K1 High classification accuracy K1 traffic sign recognition SP 1881 OP 1890 LK http://dx.doi.org/https://doi.org/10.1109/ICEMI46757.2019.9101433 DO https://doi.org/10.1109/ICEMI46757.2019.9101433 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
