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
Pixel Attention Feature Pyramid Network for Few-Shot Object..:
, In:
Proceedings of the 2023 Asia Conference on Artificial Intelligence, Machine Learning and Robotics
,
Li, Zhaokui
;
Yang, Fengyuan
;
Wang, Yan
... - p. 1-5 , 2023
Link:
https://dl.acm.org/doi/10.1145/3625343.3625362
RT T1
Proceedings of the 2023 Asia Conference on Artificial Intelligence, Machine Learning and Robotics
: T1
Pixel Attention Feature Pyramid Network for Few-Shot Object Detection in Remote Sensing Images
UL https://suche.suub.uni-bremen.de/peid=acm-3625362&Exemplar=1&LAN=DE A1 Li, Zhaokui A1 Yang, Fengyuan A1 Wang, Yan A1 Jiang, Zihui A1 Wang, Ke A1 Huo, Xu PB ACM YR 2023 K1 feature pyramid network K1 few-shot learning K1 object detection K1 pixel attention K1 remote sensing images K1 Computing methodologies K1 Machine learning K1 Machine learning algorithms K1 Feature selection SP 1 OP 5 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3625343.3625362 DO https://dl.acm.org/doi/10.1145/3625343.3625362 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)