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
Swin Transformer V2: Scaling Up Capacity and Resolution:
, In:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
,
Liu, Ze
;
Hu, Han
;
Lin, Yutong
... - p. 11999-12009 , 2022
Link:
https://doi.org/10.1109/CVPR52688.2022.01170
RT T1
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
: T1
Swin Transformer V2: Scaling Up Capacity and Resolution
UL https://suche.suub.uni-bremen.de/peid=ieee-9879380&Exemplar=1&LAN=DE A1 Liu, Ze A1 Hu, Han A1 Lin, Yutong A1 Yao, Zhuliang A1 Xie, Zhenda A1 Wei, Yixuan A1 Ning, Jia A1 Cao, Yue A1 Zhang, Zheng A1 Dong, Li A1 Wei, Furu A1 Guo, Baining YR 2022 SN 2575-7075 K1 Training K1 Representation learning K1 Adaptation models K1 Image resolution K1 Computational modeling K1 Semantics K1 Benchmark testing K1 Deep learning architectures and techniques; Representation learning SP 11999 OP 12009 LK http://dx.doi.org/https://doi.org/10.1109/CVPR52688.2022.01170 DO https://doi.org/10.1109/CVPR52688.2022.01170 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)