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
DataSheet_1_Fine-grained weed recognition using Swin Transf..:
Yecheng Wang
;
Shuangqing Zhang
;
Baisheng Dai
..
doi:10.3389/fpls.2023.1134932.s001. , 2023
Link:
https://doi.org/10.3389/fpls.2023.1134932.s001
RT Journal T1
DataSheet_1_Fine-grained weed recognition using Swin Transformer and two-stage transfer learning.docx
UL https://suche.suub.uni-bremen.de/peid=base-ftfrontimediafig:oai:figshare.com:article_22260877&Exemplar=1&LAN=DE A1 Yecheng Wang A1 Shuangqing Zhang A1 Baisheng Dai A1 Sensen Yang A1 Haochen Song YR 2023 K1 Botany K1 Plant Biology K1 Plant Systematics and Taxonomy K1 Plant Cell and Molecular Biology K1 Plant Developmental and Reproductive Biology K1 Plant Pathology K1 Plant Physiology K1 Plant Biology not elsewhere classified K1 deep learning K1 fine-grained weed recognition K1 Swin Transformer network K1 contrastive loss K1 transfer learning JF doi:10.3389/fpls.2023.1134932.s001 LK http://dx.doi.org/https://doi.org/10.3389/fpls.2023.1134932.s001 DO https://doi.org/10.3389/fpls.2023.1134932.s001 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)