SelfGraphVQA: A Self-Supervised Graph Neural Network for Scene-based Question Answering

Souza, Bruno; Aasan, Marius; Pedrini, Helio; Rivera, Adıń Ramıŕez

doi:10.1109/iccvw60793.2023.00499

2023 IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) 2023

DOI: 10.1109/iccvw60793.2023.00499

|View full text |Cite

SelfGraphVQA: A Self-Supervised Graph Neural Network for Scene-based Question Answering

Bruno Souza,

Marius Aasan,

Helio Pedrini

et al.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

References 18 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Complex visual question answering based on uniform form and content

Chen,

Fang

et al. 2024

Appl Intell

View full text Add to dashboard Cite

Complex visual question answering based on uniform form and content

Chen,

Fang

et al. 2024

Appl Intell

View full text Add to dashboard Cite

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

SelfGraphVQA: A Self-Supervised Graph Neural Network for Scene-based Question Answering

Cited by 1 publication

References 18 publications

Complex visual question answering based on uniform form and content

Complex visual question answering based on uniform form and content

Contact Info

Product

Resources

About