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
Crop image segmentation method based on improved Mask RCNN:
, In:
Proceedings of the 4th International Conference on Management Science and Industrial Engineering
,
Sun, Guiling
;
Wang, Shijie
;
Dong, Liang
. - p. 436-442 , 2022
Link:
https://dl.acm.org/doi/10.1145/3535782.3535839
RT T1 <cTitle>Proceedings of the 4th International Conference on Management Science and Industrial Engineering</cTitle>: T1 <Title>Crop image segmentation method based on improved Mask RCNN</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3535839&Exemplar=1&LAN=DE A1 Sun, Guiling A1 Wang, Shijie A1 Dong, Liang A1 Du, Yawen PB ACM YR 2022 K1 Mask RCNN K1 Softer-NMS K1 deep learning K1 instance segmentation K1 Computing methodologies K1 Artificial intelligence K1 Computer vision K1 Computer vision problems K1 Image segmentation SP 436 OP 442 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3535782.3535839 DO https://dl.acm.org/doi/10.1145/3535782.3535839 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
