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
DSC-GraspNet: A Lightweight Convolutional Neural Network fo..:
, In:
2023 9th International Conference on Virtual Reality (ICVR)
,
Zhou, Zhiyang
;
Zhang, Xiaoqiang
;
Ran, Lingyan
.. - p. 226-232 , 2023
Link:
https://doi.org/10.1109/ICVR57957.2023.10169448
RT T1 <cTitle>2023 9th International Conference on Virtual Reality (ICVR)</cTitle>: T1 <Title>DSC-GraspNet: A Lightweight Convolutional Neural Network for Robotic Grasp Detection</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10169448&Exemplar=1&LAN=DE A1 Zhou, Zhiyang A1 Zhang, Xiaoqiang A1 Ran, Lingyan A1 Han, Yamin A1 Chu, Hongyu YR 2023 SN 2331-9569 K1 Solid modeling K1 Head K1 Convolution K1 Robot kinematics K1 Grasping K1 Virtual reality K1 Feature extraction K1 Robot K1 grasp detection K1 convolutional neural network K1 depth-separable convolution SP 226 OP 232 LK http://dx.doi.org/https://doi.org/10.1109/ICVR57957.2023.10169448 DO https://doi.org/10.1109/ICVR57957.2023.10169448 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
