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
Re-labeling ImageNet: from Single to Multi-Labels, from Glo..:
, In:
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
,
Yun, Sangdoo
;
Oh, Seong Joon
;
Heo, Byeongho
... - p. 2340-2350 , 2021
Link:
https://doi.org/10.1109/CVPR46437.2021.00237
RT T1
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
: T1
Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels
UL https://suche.suub.uni-bremen.de/peid=ieee-9577610&Exemplar=1&LAN=DE A1 Yun, Sangdoo A1 Oh, Seong Joon A1 Heo, Byeongho A1 Han, Dongyoon A1 Choe, Junsuk A1 Chun, Sanghyuk YR 2021 SN 2575-7075 K1 Training K1 Visualization K1 Costs K1 Annotations K1 Transfer learning K1 Crops K1 Transforms SP 2340 OP 2350 LK http://dx.doi.org/https://doi.org/10.1109/CVPR46437.2021.00237 DO https://doi.org/10.1109/CVPR46437.2021.00237 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)