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
Align Representations with Base: A New Approach to Self-Sup..:
, In:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
,
Zhang, Shaofeng
;
Qiu, Lyn
;
Zhu, Feng
... - p. 16579-16588 , 2022
Link:
https://doi.org/10.1109/CVPR52688.2022.01610
RT T1 <cTitle>2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)</cTitle>: T1 <Title>Align Representations with Base: A New Approach to Self-Supervised Learning</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9879024&Exemplar=1&LAN=DE A1 Zhang, Shaofeng A1 Qiu, Lyn A1 Zhu, Feng A1 Yan, Junchi A1 Zhang, Hengrui A1 Zhao, Rui A1 Li, Hongyang A1 Yang, Xiaokang YR 2022 SN 2575-7075 K1 Training K1 Representation learning K1 Redundancy K1 Self-supervised learning K1 Linear programming K1 Complexity theory K1 Pattern recognition K1 Representation learning; Self-& semi-& meta- & unsupervised learning SP 16579 OP 16588 LK http://dx.doi.org/https://doi.org/10.1109/CVPR52688.2022.01610 DO https://doi.org/10.1109/CVPR52688.2022.01610 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
