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
SAM-Adapter: Adapting Segment Anything in Underperformed Sc..:
, In:
2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)
,
Chen, Tianrun
;
Zhu, Lanyun
;
Ding, Chaotao
... - p. 3359-3367 , 2023
Link:
https://doi.org/10.1109/ICCVW60793.2023.00361
RT T1 <cTitle>2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW)</cTitle>: T1 <Title>SAM-Adapter: Adapting Segment Anything in Underperformed Scenes</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10350709&Exemplar=1&LAN=DE A1 Chen, Tianrun A1 Zhu, Lanyun A1 Ding, Chaotao A1 Cao, Runlong A1 Wang, Yan A1 Zhang, Shangzhan A1 Li, Zejian A1 Sun, Lingyun A1 Zang, Ying A1 Mao, Papa YR 2023 SN 2473-9944 K1 Image segmentation K1 Adaptation models K1 Computer vision K1 Visualization K1 Codes K1 Conferences K1 Object detection K1 Segment Anything K1 Image Segmentation K1 Camouflage Detection K1 Shadow Detection K1 Adapter K1 Visual Prompting K1 Foundation Model SP 3359 OP 3367 LK http://dx.doi.org/https://doi.org/10.1109/ICCVW60793.2023.00361 DO https://doi.org/10.1109/ICCVW60793.2023.00361 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
