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
Learning Canonical 3D Object Representation for Fine-Graine..:
, In:
2021 IEEE/CVF International Conference on Computer Vision (ICCV)
,
Joung, Sunghun
;
Kim, Seungryong
;
Kim, Minsu
.. - p. 1015-1025 , 2021
Link:
https://doi.org/10.1109/ICCV48922.2021.00107
RT T1 <cTitle>2021 IEEE/CVF International Conference on Computer Vision (ICCV)</cTitle>: T1 <Title>Learning Canonical 3D Object Representation for Fine-Grained Recognition</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9710064&Exemplar=1&LAN=DE A1 Joung, Sunghun A1 Kim, Seungryong A1 Kim, Minsu A1 Kim, Ig-Jae A1 Sohn, Kwanghoon YR 2021 SN 2380-7504 K1 Representation learning K1 Solid modeling K1 Three-dimensional displays K1 Shape K1 Annotations K1 Cameras K1 Object recognition K1 Recognition and classification; 3D from a single image and shape-from-x; Representation learning SP 1015 OP 1025 LK http://dx.doi.org/https://doi.org/10.1109/ICCV48922.2021.00107 DO https://doi.org/10.1109/ICCV48922.2021.00107 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
