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
Transferable Representation Learning in Vision-and-Language..:
, In:
2019 IEEE/CVF International Conference on Computer Vision (ICCV)
,
Huang, Haoshuo
;
Jain, Vihan
;
Mehta, Harsh
... - p. 7403-7412 , 2019
Link:
https://doi.org/10.1109/ICCV.2019.00750
RT T1
2019 IEEE/CVF International Conference on Computer Vision (ICCV)
: T1
Transferable Representation Learning in Vision-and-Language Navigation
UL https://suche.suub.uni-bremen.de/peid=ieee-9010345&Exemplar=1&LAN=DE A1 Huang, Haoshuo A1 Jain, Vihan A1 Mehta, Harsh A1 Ku, Alexander A1 Magalhaes, Gabriel A1 Baldridge, Jason A1 Ie, Eugene YR 2019 SN 2380-7504 K1 Task analysis K1 Visualization K1 Navigation K1 Training K1 Adaptation models K1 Predictive models K1 Length measurement SP 7403 OP 7412 LK http://dx.doi.org/https://doi.org/10.1109/ICCV.2019.00750 DO https://doi.org/10.1109/ICCV.2019.00750 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)