Images & Recipes: Retrieval in the cooking context - Sorbonne Université
Communication Dans Un Congrès Année : 2018

Images & Recipes: Retrieval in the cooking context

Résumé

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.
Fichier principal
Vignette du fichier
2018_01_05_DECOR2018.pdf (10.47 Mo) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01841660 , version 1 (17-07-2018)

Identifiants

  • HAL Id : hal-01841660 , version 1

Citer

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⟩
173 Consultations
65 Téléchargements

Partager

More