Learning Cross-Modal Embeddings for Cooking Recipes and Food Images

CVPR, pp. 3068-3076, 2017.

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Abstract:

In this paper, we introduce Recipe1M, a new large-scale, structured corpus of over 1m cooking recipes and 800k food images. As the largest publicly available collection of recipe data, Recipe1M affords the ability to train high-capacity models on aligned, multi-modal data. Using these data, we train a neural network to find a joint embedd...More

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