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
Foggy-Based Object Detection In Video Using Faster R-CNN, Y..:
, In:
2023 International Seminar on Application for Technology of Information and Communication (iSemantic)
,
Rahmawati, Lailia
;
Rustad, Supriadi
;
Marjuni, Aris
... - p. 412-416 , 2023
Link:
https://doi.org/10.1109/iSemantic59612.2023.10295340
RT T1
2023 International Seminar on Application for Technology of Information and Communication (iSemantic)
: T1
Foggy-Based Object Detection In Video Using Faster R-CNN, YOLOv3, and SSD
UL https://suche.suub.uni-bremen.de/peid=ieee-10295340&Exemplar=1&LAN=DE A1 Rahmawati, Lailia A1 Rustad, Supriadi A1 Marjuni, Aris A1 Soeleman, Moch Arief A1 Nurtantio Andono, Pulung A1 Pujiono YR 2023 K1 Seminars K1 Detectors K1 Proposals K1 Object recognition K1 Meteorology K1 object detection K1 fog K1 convolutional neural network K1 Faster R-CNN K1 SSD K1 YOLOv3 SP 412 OP 416 LK http://dx.doi.org/https://doi.org/10.1109/iSemantic59612.2023.10295340 DO https://doi.org/10.1109/iSemantic59612.2023.10295340 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)