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
Learnable Prompts-Based Transformers for Domain Generalizat..:
, In:
IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium
,
He, Baofa
;
Feng, Jie
;
Li, Di
... - p. 10441-10445 , 2024
Link:
https://doi.org/10.1109/IGARSS53475.2024.10640533
RT T1 <cTitle>IGARSS 2024 - 2024 IEEE International Geoscience and Remote Sensing Symposium</cTitle>: T1 <Title>Learnable Prompts-Based Transformers for Domain Generalization of Hyperspectral Image Classification</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10640533&Exemplar=1&LAN=DE A1 He, Baofa A1 Feng, Jie A1 Li, Di A1 Shang, Ronghua A1 Wu, Jinjian A1 Jiao, Licheng YR 2024 SN 2153-7003 K1 Learning systems K1 Visualization K1 Adaptation models K1 Correlation K1 Transformers K1 Feature extraction K1 Prompt engineering K1 Hyperspectral image classification K1 domain generalization K1 contrastive learning SP 10441 OP 10445 LK http://dx.doi.org/https://doi.org/10.1109/IGARSS53475.2024.10640533 DO https://doi.org/10.1109/IGARSS53475.2024.10640533 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
