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
Mixed-dual-head Meets Box Priors: A Robust Framework for Se..:
, In:
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
,
Chen, Chenshu
;
Liu, Tao
;
Tan, Wenming
. - p. 2592-2602 , 2022
Link:
https://doi.org/10.1109/WACV51458.2022.00265
RT T1
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
: T1
Mixed-dual-head Meets Box Priors: A Robust Framework for Semi-supervised Segmentation
UL https://suche.suub.uni-bremen.de/peid=ieee-9706787&Exemplar=1&LAN=DE A1 Chen, Chenshu A1 Liu, Tao A1 Tan, Wenming A1 Pu, Shiliang YR 2022 SN 2642-9381 K1 Training K1 Image segmentation K1 Computer vision K1 Annotations K1 Semantics K1 Interference K1 Segmentation; Grouping and Shape Deep Learning; Transfer; Few-shot; Semi- and Un- supervised Learning SP 2592 OP 2602 LK http://dx.doi.org/https://doi.org/10.1109/WACV51458.2022.00265 DO https://doi.org/10.1109/WACV51458.2022.00265 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)