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
Deep Photo Scan: Semi-Supervised Learning for dealing with ..:
, In:
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)
,
Ho, Man M.
;
Zhou, Jinjia
- p. 894-903 , 2022
Link:
https://doi.org/10.1109/WACV51458.2022.00097
RT T1 <cTitle>2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)</cTitle>: T1 <Title>Deep Photo Scan: Semi-Supervised Learning for dealing with the real-world degradation in Smartphone Photo Scanning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9706893&Exemplar=1&LAN=DE A1 Ho, Man M. A1 Zhou, Jinjia YR 2022 SN 2642-9381 K1 Degradation K1 Training K1 Shape K1 Digital images K1 Training data K1 Computer architecture K1 Semisupervised learning K1 Computational Photography; Image and Video Synthesis ; Datasets; Evaluation and Comparison of Vision Algorithms; Deep Learning -> Neural Generative Models; Autoencoders; GANs; Image Processing -> Image Restoration; Transfer; Few-shot; Semi- and Un- supervised Learning SP 894 OP 903 LK http://dx.doi.org/https://doi.org/10.1109/WACV51458.2022.00097 DO https://doi.org/10.1109/WACV51458.2022.00097 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
