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
RMLVQA: A Margin Loss Approach For Visual Question Answerin..:
, In:
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
,
Basu, Abhipsa
;
Addepalli, Sravanti
;
Babu, R. Venkatesh
- p. 11671-11680 , 2023
Link:
https://doi.org/10.1109/CVPR52729.2023.01123
RT T1 <cTitle>2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)</cTitle>: T1 <Title>RMLVQA: A Margin Loss Approach For Visual Question Answering with Language Biases</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10204950&Exemplar=1&LAN=DE A1 Basu, Abhipsa A1 Addepalli, Sravanti A1 Babu, R. Venkatesh YR 2023 SN 2575-7075 K1 Training K1 Visualization K1 Adaptation models K1 Computational modeling K1 Training data K1 Predictive models K1 Question answering (information retrieval) K1 Vision K1 language K1 reasoning SP 11671 OP 11680 LK http://dx.doi.org/https://doi.org/10.1109/CVPR52729.2023.01123 DO https://doi.org/10.1109/CVPR52729.2023.01123 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
