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Conference Papers Year : 2018

Images & Recipes: Retrieval in the cooking context


Recent advances in the machine learning community allowed different use cases to emerge, as its association to domains like cooking which created the computational cuisine. In this paper, we tackle the picture-recipe alignment problem, having as target application the large-scale retrieval task (finding a recipe given a picture, and vice versa). Our approach is validated on the Recipe1M dataset, composed of one million image-recipe pairs and additional class information, for which we achieve state-of-the-art results.
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hal-01841660 , version 1 (17-07-2018)


  • HAL Id : hal-01841660 , version 1


Micael Carvalho, Remi Cadene, David Picard, Laure Soulier, Matthieu Cord. Images & Recipes: Retrieval in the cooking context. International Conference on Data Engineering (ICDE), DECOR workshop, Apr 2018, Paris, France. ⟨hal-01841660⟩
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