Images & Recipes: Retrieval in the cooking context
This addresses the problem of retrieving recipes from images and vice versa for cooking applications, but it is incremental as it builds on existing datasets and tasks.
The paper tackles the picture-recipe alignment problem for large-scale retrieval, achieving state-of-the-art results on the Recipe1M dataset with one million image-recipe pairs.
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.