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
TMSR: Tiny Multi-path CNNs for Super Resolution:
, In:
2023 IEEE 5th Eurasia Conference on IOT, Communication and Engineering (ECICE)
,
Liu, Chia-Hung
;
Hsieh, Tzu-Hsin
;
Huang, Kuan-Yu
. - p. 829-833 , 2023
Link:
https://doi.org/10.1109/ECICE59523.2023.10383101
RT T1 <cTitle>2023 IEEE 5th Eurasia Conference on IOT, Communication and Engineering (ECICE)</cTitle>: T1 <Title>TMSR: Tiny Multi-path CNNs for Super Resolution</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10383101&Exemplar=1&LAN=DE A1 Liu, Chia-Hung A1 Hsieh, Tzu-Hsin A1 Huang, Kuan-Yu A1 Chen, Pei-Yin YR 2023 K1 Image quality K1 Current measurement K1 Superresolution K1 Neural networks K1 Complex networks K1 Indexes K1 super-resolution K1 convolutional neural networks K1 low-cost K1 multi-path learning SP 829 OP 833 LK http://dx.doi.org/https://doi.org/10.1109/ECICE59523.2023.10383101 DO https://doi.org/10.1109/ECICE59523.2023.10383101 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
