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
UASNet: Uncertainty Adaptive Sampling Network for Deep Ster..:
, In:
2021 IEEE/CVF International Conference on Computer Vision (ICCV)
,
Mao, Yamin
;
Liu, Zhihua
;
Li, Weiming
... - p. 6291-6299 , 2021
Link:
https://doi.org/10.1109/ICCV48922.2021.00625
RT T1 <cTitle>2021 IEEE/CVF International Conference on Computer Vision (ICCV)</cTitle>: T1 <Title>UASNet: Uncertainty Adaptive Sampling Network for Deep Stereo Matching</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9710298&Exemplar=1&LAN=DE A1 Mao, Yamin A1 Liu, Zhihua A1 Li, Weiming A1 Dai, Yuchao A1 Wang, Qiang A1 Kim, Yun-Tae A1 Lee, Hong-Seok YR 2021 SN 2380-7504 K1 Computer vision K1 Adaptation models K1 Uncertainty K1 Costs K1 Adaptive systems K1 Benchmark testing K1 Predictive models K1 Stereo K1 3D from multiview and other sensors; Vision for robotics and autonomous vehicles SP 6291 OP 6299 LK http://dx.doi.org/https://doi.org/10.1109/ICCV48922.2021.00625 DO https://doi.org/10.1109/ICCV48922.2021.00625 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
