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
Vision Transformer-Based Feature Extraction for Generalized..:
, In:
ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
,
Kim, Jiseob
;
Shim, Kyuhong
;
Kim, Junhan
. - p. 1-5 , 2023
Link:
https://doi.org/10.1109/ICASSP49357.2023.10095217
RT T1 <cTitle>ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)</cTitle>: T1 <Title>Vision Transformer-Based Feature Extraction for Generalized Zero-Shot Learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10095217&Exemplar=1&LAN=DE A1 Kim, Jiseob A1 Shim, Kyuhong A1 Kim, Junhan A1 Shim, Byonghyo YR 2023 SN 2379-190X K1 Degradation K1 Deep learning K1 Image resolution K1 Aggregates K1 Signal processing K1 Feature extraction K1 Transformers K1 Generalized zero-shot learning K1 Vision Transformer SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/ICASSP49357.2023.10095217 DO https://doi.org/10.1109/ICASSP49357.2023.10095217 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
