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
Research on Dense-Tiny Object Detection Method of Transmiss..:
, In:
Proceedings of the 2023 9th International Conference on Computing and Artificial Intelligence
,
Dong, Yanjun
;
Wang, Shigeng
;
Yin, Xiaoyu
.. - p. 19-27 , 2023
Link:
https://dl.acm.org/doi/10.1145/3594315.3594319
RT T1 <cTitle>Proceedings of the 2023 9th International Conference on Computing and Artificial Intelligence</cTitle>: T1 <Title>Research on Dense-Tiny Object Detection Method of Transmission Line Based on Dynamic NMS</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3594319&Exemplar=1&LAN=DE A1 Dong, Yanjun A1 Wang, Shigeng A1 Yin, Xiaoyu A1 Chen, Xi A1 Peng, Jiao PB ACM YR 2023 K1 Computing methodologies K1 Artificial intelligence K1 Computer vision K1 Computer vision problems K1 Object detection SP 19 OP 27 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3594315.3594319 DO https://dl.acm.org/doi/10.1145/3594315.3594319 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
