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
Overlap Loss: Rethinking Weakly Supervised Instance Segment..:
, In:
2023 IEEE International Conference on Image Processing (ICIP)
,
Jiang, Shanghang
;
Zhao, Shichao
;
Wu, Meng
.. - p. 2905-2909 , 2023
Link:
https://doi.org/10.1109/ICIP49359.2023.10222709
RT T1 <cTitle>2023 IEEE International Conference on Image Processing (ICIP)</cTitle>: T1 <Title>Overlap Loss: Rethinking Weakly Supervised Instance Segmentation in Crowded Scenes</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10222709&Exemplar=1&LAN=DE A1 Jiang, Shanghang A1 Zhao, Shichao A1 Wu, Meng A1 Zhang, Le A1 Zhou, Feng YR 2023 K1 Image segmentation K1 Costs K1 Codes K1 Labeling K1 Instance segmentation K1 weakly supervised instance segmentation K1 box supervision SP 2905 OP 2909 LK http://dx.doi.org/https://doi.org/10.1109/ICIP49359.2023.10222709 DO https://doi.org/10.1109/ICIP49359.2023.10222709 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
