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
RDNet: A reinforced-deformable convolutional network for cr..:
, In:
2022 IEEE International Conference on Robotics and Biomimetics (ROBIO)
,
Shang, Qingzhen
;
Zhuo, Yidi
;
Zhang, Jiahui
. - p. 1787-1792 , 2022
Link:
https://doi.org/10.1109/ROBIO55434.2022.10011779
RT T1 <cTitle>2022 IEEE International Conference on Robotics and Biomimetics (ROBIO)</cTitle>: T1 <Title>RDNet: A reinforced-deformable convolutional network for crowd counting</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10011779&Exemplar=1&LAN=DE A1 Shang, Qingzhen A1 Zhuo, Yidi A1 Zhang, Jiahui A1 Yang, Jinfu YR 2022 K1 Location awareness K1 Convolution K1 Sociology K1 Semantics K1 Object detection K1 Convolutional neural networks K1 Task analysis SP 1787 OP 1792 LK http://dx.doi.org/https://doi.org/10.1109/ROBIO55434.2022.10011779 DO https://doi.org/10.1109/ROBIO55434.2022.10011779 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
