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
Wheat spikes counting using object-level data augmentation:
, In:
2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)
,
Zaji, Amirhossein
;
Liu, Zheng
;
Xiao, Gaozhi
... - p. 1-6 , 2022
Link:
https://doi.org/10.1109/I2MTC48687.2022.9806479
RT T1
2022 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)
: T1
Wheat spikes counting using object-level data augmentation
UL https://suche.suub.uni-bremen.de/peid=ieee-9806479&Exemplar=1&LAN=DE A1 Zaji, Amirhossein A1 Liu, Zheng A1 Xiao, Gaozhi A1 Bhowmik, Pankaj A1 Sangha, Jatinder S. A1 Ruan, Yuefeng YR 2022 SN 2642-2077 K1 Training K1 Deep learning K1 Machine vision K1 Pipelines K1 Predictive models K1 Prediction algorithms K1 Data models K1 object-level augmentation K1 deep learning K1 wheat production K1 high-throughput phenotyping SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/I2MTC48687.2022.9806479 DO https://doi.org/10.1109/I2MTC48687.2022.9806479 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)