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
Mixup Augmentation for Deep Hashing:
, In:
2021 3rd International Conference on Video, Signal and Image Processing
,
Cao, Weida
;
Liu, Futao
;
Yin, Xiaomin
... - p. 37-42 , 2021
Link:
https://dl.acm.org/doi/10.1145/3503961.3503968
RT T1 <cTitle>2021 3rd International Conference on Video, Signal and Image Processing</cTitle>: T1 <Title>Mixup Augmentation for Deep Hashing</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3503968&Exemplar=1&LAN=DE A1 Cao, Weida A1 Liu, Futao A1 Yin, Xiaomin A1 Chen, Mingrui A1 Lu, Weizhi A1 Song, Ran PB ACM YR 2021 K1 data augmentation K1 deep neural networks K1 hash codes K1 image retrieval K1 mixup K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks SP 37 OP 42 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3503961.3503968 DO https://dl.acm.org/doi/10.1145/3503961.3503968 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
