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
Pedestrian Detection Algorithm of YOLOV8 Based on Feature E..:
, In:
Proceedings of the 2024 3rd Asia Conference on Algorithms, Computing and Machine Learning
,
Zhang, Suisui
;
Li, Ping
;
Yu, Wenjie
. - p. 90-95 , 2024
Link:
https://dl.acm.org/doi/10.1145/3654823.3654840
RT T1
Proceedings of the 2024 3rd Asia Conference on Algorithms, Computing and Machine Learning
: T1
Pedestrian Detection Algorithm of YOLOV8 Based on Feature Enhancement
UL https://suche.suub.uni-bremen.de/peid=acm-3654840&Exemplar=1&LAN=DE A1 Zhang, Suisui A1 Li, Ping A1 Yu, Wenjie A1 Zhang, Guoliang PB ACM YR 2024 K1 CUHK K1 YOLOV8 K1 attention mechanism K1 feature fusion capability K1 object detection K1 pedestrian detection K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks SP 90 OP 95 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3654823.3654840 DO https://dl.acm.org/doi/10.1145/3654823.3654840 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)