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
Deep Attention-guided Multi-scale Feature Pyramid Network f..:
, In:
2023 28th International Conference on Automation and Computing (ICAC)
,
Zhang, Yuhong
;
Wu, De-An
;
Lu, Yibin
- p. 01-06 , 2023
Link:
https://doi.org/10.1109/ICAC57885.2023.10275231
RT T1
2023 28th International Conference on Automation and Computing (ICAC)
: T1
Deep Attention-guided Multi-scale Feature Pyramid Network for Object Detection
UL https://suche.suub.uni-bremen.de/peid=ieee-10275231&Exemplar=1&LAN=DE A1 Zhang, Yuhong A1 Wu, De-An A1 Lu, Yibin YR 2023 K1 Automation K1 Convolution K1 Computational modeling K1 Semantics K1 Refining K1 Object detection K1 Network architecture K1 computer vision K1 object detection K1 multi-scale feature fusion K1 attention mechanism K1 feature pyramid network SP 01 OP 06 LK http://dx.doi.org/https://doi.org/10.1109/ICAC57885.2023.10275231 DO https://doi.org/10.1109/ICAC57885.2023.10275231 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)