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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 36 / No. 10: AAAI-22 Technical Tracks 10

Dynamic Key-Value Memory Enhanced Multi-Step Graph Reasoning for Knowledge-Based Visual Question Answering

February 1, 2023

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Authors

Mingxiao Li

KULeuven


Marie-Francine Moens

KU Leuven


DOI:

10.1609/aaai.v36i10.21346


Abstract:

Knowledge-based visual question answering (VQA) is a vision-language task that requires an agent to correctly answer image-related questions using knowledge that is not presented in the given image. It is not only a more challenging task than regular VQA but also a vital step towards building a general VQA system. Most existing knowledge-based VQA systems process knowledge and image information similarly and ignore the fact that the knowledge base (KB) contains complete information about a triplet, while the extracted image information might be incomplete as the relations between two objects are missing or wrongly detected. In this paper, we propose a novel model named dynamic knowledge memory enhanced multi-step graph reasoning (DMMGR), which performs explicit and implicit reasoning over a key-value knowledge memory module and a spatial-aware image graph, respectively. Specifically, the memory module learns a dynamic knowledge representation and generates a knowledge-aware question representation at each reasoning step. Then, this representation is used to guide a graph attention operator over the spatial-aware image graph. Our model achieves new state-of-the-art accuracy on the KRVQR and FVQA datasets. We also conduct ablation experiments to prove the effectiveness of each component of the proposed model.

Topics: AAAI

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HOW TO CITE:

Mingxiao Li||Marie-Francine Moens Dynamic Key-Value Memory Enhanced Multi-Step Graph Reasoning for Knowledge-Based Visual Question Answering Proceedings of the AAAI Conference on Artificial Intelligence (2022) 10983-10992.

Mingxiao Li||Marie-Francine Moens Dynamic Key-Value Memory Enhanced Multi-Step Graph Reasoning for Knowledge-Based Visual Question Answering AAAI 2022, 10983-10992.

Mingxiao Li||Marie-Francine Moens (2022). Dynamic Key-Value Memory Enhanced Multi-Step Graph Reasoning for Knowledge-Based Visual Question Answering. Proceedings of the AAAI Conference on Artificial Intelligence, 10983-10992.

Mingxiao Li||Marie-Francine Moens. Dynamic Key-Value Memory Enhanced Multi-Step Graph Reasoning for Knowledge-Based Visual Question Answering. Proceedings of the AAAI Conference on Artificial Intelligence 2022 p.10983-10992.

Mingxiao Li||Marie-Francine Moens. 2022. Dynamic Key-Value Memory Enhanced Multi-Step Graph Reasoning for Knowledge-Based Visual Question Answering. "Proceedings of the AAAI Conference on Artificial Intelligence". 10983-10992.

Mingxiao Li||Marie-Francine Moens. (2022) "Dynamic Key-Value Memory Enhanced Multi-Step Graph Reasoning for Knowledge-Based Visual Question Answering", Proceedings of the AAAI Conference on Artificial Intelligence, p.10983-10992

Mingxiao Li||Marie-Francine Moens, "Dynamic Key-Value Memory Enhanced Multi-Step Graph Reasoning for Knowledge-Based Visual Question Answering", AAAI, p.10983-10992, 2022.

Mingxiao Li||Marie-Francine Moens. "Dynamic Key-Value Memory Enhanced Multi-Step Graph Reasoning for Knowledge-Based Visual Question Answering". Proceedings of the AAAI Conference on Artificial Intelligence, 2022, p.10983-10992.

Mingxiao Li||Marie-Francine Moens. "Dynamic Key-Value Memory Enhanced Multi-Step Graph Reasoning for Knowledge-Based Visual Question Answering". Proceedings of the AAAI Conference on Artificial Intelligence, (2022): 10983-10992.

Mingxiao Li||Marie-Francine Moens. Dynamic Key-Value Memory Enhanced Multi-Step Graph Reasoning for Knowledge-Based Visual Question Answering. AAAI[Internet]. 2022[cited 2023]; 10983-10992.


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
Copyright 2022, Association for the Advancement of
Artificial Intelligence 1900 Embarcadero Road, Suite
101, Palo Alto, California 94303 All Rights Reserved

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