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
Reinforcement learning for instance segmentation with high-..:
, In:
2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)
,
Hilt, Paul
;
Zarvandi, Maedeh
;
Kaziakhmedov, Edgar
... - p. 3915-3924 , 2023
Link:
https://doi.org/10.1109/ICCVW60793.2023.00423
RT T1 <cTitle>2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)</cTitle>: T1 <Title>Reinforcement learning for instance segmentation with high-level priors</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10350537&Exemplar=1&LAN=DE A1 Hilt, Paul A1 Zarvandi, Maedeh A1 Kaziakhmedov, Edgar A1 Bhide, Sourabh A1 Laptin, Maria A1 Pape, Constantin A1 Kreshuk, Anna YR 2023 SN 2473-9944 K1 Instance segmentation K1 Learning systems K1 Computer vision K1 Shape K1 Annotations K1 Conferences K1 Toy manufacturing industry SP 3915 OP 3924 LK http://dx.doi.org/https://doi.org/10.1109/ICCVW60793.2023.00423 DO https://doi.org/10.1109/ICCVW60793.2023.00423 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
