LaKo: Knowledge-driven Visual Question Answering via Late Knowledge-to-Text Injection-Reference-Cited by-同舟云学术

LaKo: Knowledge-driven Visual Question Answering via Late Knowledge-to-Text Injection

Published:2022-10-27 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 11th International Joint Conference on Knowledge Graphs
language:
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Author:

Chen Zhuo¹^ORCID,Huang Yufeng²^ORCID,Chen Jiaoyan³^ORCID,Geng Yuxia¹^ORCID,Fang Yin¹^ORCID,Pan Jeff Z.⁴^ORCID,Zhang Ningyu²^ORCID,Zhang Wen²^ORCID

Affiliation:

1. College of Computer Science and Technology, Zhejiang University, China

2. School of Software Technology, Zhejiang University, China

3. Department of Computer Science, University of Oxford, United Kingdom

4. School of Informatics, The University of Edinburgh, United Kingdom

Funder

Engineering and Physical Sciences Research Council

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3579051.3579053

Reference68 articles.

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2. VQA: Visual Question Answering

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4. Sumithra Bhakthavatsalam Kyle Richardson Niket Tandon and Peter Clark. 2020. Do Dogs have Whiskers? A New Knowledge Base of hasPart Relations. CoRR abs/2006.07510(2020). Sumithra Bhakthavatsalam Kyle Richardson Niket Tandon and Peter Clark. 2020. Do Dogs have Whiskers? A New Knowledge Base of hasPart Relations. CoRR abs/2006.07510(2020).

5. Ning Bian , Xianpei Han , Bo Chen , and Le Sun . 2021. Benchmarking Knowledge-Enhanced Commonsense Question Answering via Knowledge-to-Text Transformation . In AAAI. AAAI Press , 12574–12582. Ning Bian, Xianpei Han, Bo Chen, and Le Sun. 2021. Benchmarking Knowledge-Enhanced Commonsense Question Answering via Knowledge-to-Text Transformation. In AAAI. AAAI Press, 12574–12582.

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