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
Small object detection algorithm for aerial photography bas..:
, In:
2023 3rd International Conference on Electronic Information Engineering and Computer Communication (EIECC)
,
Wang, Li
;
Yu, Yuecheng
;
Xu, Pucheng
... - p. 687-692 , 2023
Link:
https://doi.org/10.1109/EIECC60864.2023.10456617
RT T1 <cTitle>2023 3rd International Conference on Electronic Information Engineering and Computer Communication (EIECC)</cTitle>: T1 <Title>Small object detection algorithm for aerial photography based on improved YOLOv5</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10456617&Exemplar=1&LAN=DE A1 Wang, Li A1 Yu, Yuecheng A1 Xu, Pucheng A1 Zou, Rundong A1 Hua, Wei A1 Yuan, You YR 2023 K1 YOLO K1 Sensitivity K1 Target recognition K1 Computational modeling K1 Memory management K1 Autonomous aerial vehicles K1 Feature extraction K1 UAV aerial photography K1 Small target detection K1 YOLOv5 K1 Attention mechanism SP 687 OP 692 LK http://dx.doi.org/https://doi.org/10.1109/EIECC60864.2023.10456617 DO https://doi.org/10.1109/EIECC60864.2023.10456617 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
