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
MLFAnet: A Tomato Disease Classification Method Focusing on..:
Dasen Li
;
Zhendong Yin
;
Yanlong Zhao
..
https://www.mdpi.com/2077-0472/13/6/1140. , 2023
Link:
https://doi.org/10.3390/agriculture13061140
RT Journal T1
MLFAnet: A Tomato Disease Classification Method Focusing on OOD Generalization
UL https://suche.suub.uni-bremen.de/peid=base-ftdoajarticles:oai:doaj.org_article:d3ca72225d2f47a3b54e40c1927dda97&Exemplar=1&LAN=DE A1 Dasen Li A1 Zhendong Yin A1 Yanlong Zhao A1 Wudi Zhao A1 Jiqing Li PB MDPI AG YR 2023 K1 tomato disease classification K1 out of distribution K1 corruption shifts generalization K1 frequency component K1 attention mechanism K1 Agriculture (General) K1 S1-972 JF https://www.mdpi.com/2077-0472/13/6/1140 LK http://dx.doi.org/https://doi.org/10.3390/agriculture13061140 DO https://doi.org/10.3390/agriculture13061140 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)