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        <title>Visual Recipe Flow: A Dataset for Learning Visual State Changes of Objects with Recipe Flows</title>
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    <name type="personal">
        <namePart type="given">Keisuke</namePart>
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    <name type="personal">
        <namePart type="given">Shuhei</namePart>
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    <abstract>We present a new multimodal dataset called Visual Recipe Flow, which enables us to learn a cooking action result for each object in a recipe text. The dataset consists of object state changes and the workflow of the recipe text. The state change is represented as an image pair, while the workflow is represented as a recipe flow graph. We developed a web interface to reduce human annotation costs. The dataset allows us to try various applications, including multimodal information retrieval.</abstract>
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%0 Conference Proceedings
%T Visual Recipe Flow: A Dataset for Learning Visual State Changes of Objects with Recipe Flows
%A Shirai, Keisuke
%A Hashimoto, Atsushi
%A Nishimura, Taichi
%A Kameko, Hirotaka
%A Kurita, Shuhei
%A Ushiku, Yoshitaka
%A Mori, Shinsuke
%S Proceedings of the 29th International Conference on Computational Linguistics
%D 2022
%8 October
%I International Committee on Computational Linguistics
%C Gyeongju, Republic of Korea
%F shirai-etal-2022-visual
%X We present a new multimodal dataset called Visual Recipe Flow, which enables us to learn a cooking action result for each object in a recipe text. The dataset consists of object state changes and the workflow of the recipe text. The state change is represented as an image pair, while the workflow is represented as a recipe flow graph. We developed a web interface to reduce human annotation costs. The dataset allows us to try various applications, including multimodal information retrieval.
%U https://aclanthology.org/2022.coling-1.315
%P 3570-3577

Markdown (Informal)

[Visual Recipe Flow: A Dataset for Learning Visual State Changes of Objects with Recipe Flows](https://aclanthology.org/2022.coling-1.315) (Shirai et al., COLING 2022)

• Visual Recipe Flow: A Dataset for Learning Visual State Changes of Objects with Recipe Flows (Shirai et al., COLING 2022)

ACL

• Keisuke Shirai, Atsushi Hashimoto, Taichi Nishimura, Hirotaka Kameko, Shuhei Kurita, Yoshitaka Ushiku, and Shinsuke Mori. 2022. Visual Recipe Flow: A Dataset for Learning Visual State Changes of Objects with Recipe Flows. In Proceedings of the 29th International Conference on Computational Linguistics, pages 3570–3577, Gyeongju, Republic of Korea. International Committee on Computational Linguistics.