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
Towards Real-time CNN Inference from a Video Stream on a Mo..:
, In:
The 21st ACM SIGPLAN/SIGBED Conference on Languages, Compilers, and Tools for Embedded Systems
,
Oh, Chanyoung
;
Park, Gunju
;
Kim, Sumin
.. - p. 136-140 , 2020
Link:
https://dl.acm.org/doi/10.1145/3372799.3394366
RT T1
The 21st ACM SIGPLAN/SIGBED Conference on Languages, Compilers, and Tools for Embedded Systems
: T1
Towards Real-time CNN Inference from a Video Stream on a Mobile GPU (WiP Paper)
UL https://suche.suub.uni-bremen.de/peid=acm-3394366&Exemplar=1&LAN=DE A1 Oh, Chanyoung A1 Park, Gunju A1 Kim, Sumin A1 Kim, Dohee A1 Yi, Youngmin PB ACM YR 2020 K1 face detection K1 on-device deep learning K1 persistent threads K1 quantization K1 Computer systems organization K1 Embedded and cyber-physical systems K1 Embedded systems K1 Embedded software SP 136 OP 140 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3372799.3394366 DO https://dl.acm.org/doi/10.1145/3372799.3394366 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)