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Images & Recipes: Retrieval in the cooking context

Abstract : 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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Submitted on : Tuesday, July 17, 2018 - 2:34:32 PM
Last modification on : Wednesday, January 19, 2022 - 2:08:02 PM
Long-term archiving on: : Thursday, October 18, 2018 - 3:44:00 PM


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  • 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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