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Inverse cooking: recipe generation from food images

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hdl:2117/166916

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Salvador Aguilera, AmaiaMés informació
Drozdzal, Michal
Giró Nieto, XavierMés informacióMés informació
Romero, Adriana
Document typeConference report
Defense date2019
PublisherComputer Vision Foundation
Rights accessOpen Access
Attribution-NonCommercial-NoDerivs 3.0 Spain
This work is protected by the corresponding intellectual and industrial property rights. Except where otherwise noted, its contents are licensed under a Creative Commons license : Attribution-NonCommercial-NoDerivs 3.0 Spain
ProjectPROCESADO DE INFORMACION HETEROGENEA Y SEÑALES EN GRAFOS PARA BIG DATA. APLICACION EN CRIBADO DE ALTO RENDIMIENTO, TELEDETECCION, MULTIMEDIA Y HCI. (MINECO-TEC2013-43935-R)
Abstract
People enjoy food photography because they appreciate food. Behind each meal there is a story described in a complex recipe and, unfortunately, by simply looking at a food image we do not have access to its preparation process. Therefore, in this paper we introduce an inverse cooking system that recreates cooking recipes given food images. Our system predicts ingredients as sets by means of a novel architecture, modeling their dependencies without imposing any order, and then generates cooking instructions by attending to both image and its inferred ingredients simultaneously. We extensively evaluate the whole system on the large-scale Recipe1M dataset and show that (1) we improve performance w.r.t. previous baselines for ingredient prediction; (2) we are able to obtain high quality recipes by leveraging both image and ingredients; (3) our system is able to produce more compelling recipes than retrieval-based approaches according to human judgment. We make code and models publicly available.
CitationSalvador, A. [et al.]. Inverse cooking: recipe generation from food images. A: IEEE Conference on Computer Vision and Pattern Recognition. "CVPR 2019: Conference on Computer Vision and Pattern Recognition: Long Beach, CA: June 16-20, 2019". Computer Vision Foundation, 2019, p. 10453-10462. 
URIhttp://hdl.handle.net/2117/166916
Publisher versionhttp://openaccess.thecvf.com/content_CVPR_2019/html/Salvador_Inverse_Cooking_Recipe_Generation_From_Food_Images_CVPR_2019_paper.html
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