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
Quantization of U-Net Model for Self-Driving:
, In:
2024 10th International Conference on Applied System Innovation (ICASI)
,
Nam, Min
;
Oh, Seungmin
;
Lee, Jonghwan
- p. 1-3 , 2024
Link:
https://doi.org/10.1109/ICASI60819.2024.10547864
RT T1
2024 10th International Conference on Applied System Innovation (ICASI)
: T1
Quantization of U-Net Model for Self-Driving
UL https://suche.suub.uni-bremen.de/peid=ieee-10547864&Exemplar=1&LAN=DE A1 Nam, Min A1 Oh, Seungmin A1 Lee, Jonghwan YR 2024 SN 2768-4156 K1 Deep learning K1 Analytical models K1 Technological innovation K1 Quantization (signal) K1 Semantic segmentation K1 Memory management K1 Object detection K1 Quantization K1 U-Net K1 Self-Driving K1 Inference Time SP 1 OP 3 LK http://dx.doi.org/https://doi.org/10.1109/ICASI60819.2024.10547864 DO https://doi.org/10.1109/ICASI60819.2024.10547864 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)