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
CellTypeGraph: A New Geometric Computer Vision Benchmark:
, In:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
,
Cerrone, Lorenzo
;
Vijayan, Athul
;
Mody, Tejasvinee
.. - p. 20865-20875 , 2022
Link:
https://doi.org/10.1109/CVPR52688.2022.02023
RT T1 <cTitle>2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)</cTitle>: T1 <Title>CellTypeGraph: A New Geometric Computer Vision Benchmark</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9879588&Exemplar=1&LAN=DE A1 Cerrone, Lorenzo A1 Vijayan, Athul A1 Mody, Tejasvinee A1 Schneitz, Kay A1 Hamprecht, Fred A. YR 2022 SN 2575-7075 K1 Computer vision K1 Three-dimensional displays K1 Plants (biology) K1 Supervised learning K1 Biological systems K1 Computer architecture K1 Benchmark testing K1 Medical K1 biological and cell microscopy; Datasets and evaluation; Deep learning architectures and techniques; Machine learning; Segmentation K1 grouping and shape analysis SP 20865 OP 20875 LK http://dx.doi.org/https://doi.org/10.1109/CVPR52688.2022.02023 DO https://doi.org/10.1109/CVPR52688.2022.02023 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
