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Intuitive deep dive of im2recipe related paper “Transformer Decoders with Multimodal Regularization for Cross-Modal Food Retrieval”Photo by Olayinka Babalola on UnsplashWelcome to part fourth and last part of the Food AI series of papers!Part 1: “Learning Cross-modal Embeddings for Cooking Recipes and Food Images”Part 2: “Dividing and Conquering Cross-Modal Recipe Retrieval: from Nearest Neighbours Baselines to SoTA”Part 3: “Cross-Modal Retrieval and Synthesis (X-MRS): Closing the Modality Gap in Shared Representation…

Intuitive deep dive of im2recipe related paper “Cross-Modal Retrieval and Synthesis (X-MRS): Closing the Modality Gap in Shared Representation Learning”Photo by Luisa Brimble on UnsplashWelcome to part three of the Food AI series of papers!Part 1: “Learning Cross-modal Embeddings for Cooking Recipes and Food Images”Part 2: “Dividing and Conquering Cross-Modal Recipe Retrieval: from Nearest Neighbours Baselines to SoTA”As mentioned in previous articles, these explanations aim at charting the progress of research in a…

Intuitive deep dive of im2recipe related paper “Dividing and Conquering Cross-Modal Recipe Retrieval: from Nearest Neighbours Baselines to SoTA”Photo by Chad Montano on UnsplashWelcome to part two of the Food AI series of papers! Last week, I wrote an article explaining the seminal im2recipe paper that introduced cross-modality into dealing with machine learning related to food applications such as searching for the correct recipe using a photo, automatically determining the number of calories in a dish or improving the…

Intuitive deep dive of the im2recipe paper “Learning Cross-modal Embeddings for Cooking Recipes and Food Images”Photo by Chad Montano on UnsplashWelcome to my new series of paper explanations! You may ask what’s different from what’s out there? Well, I will not be covering the trendy or the famous papers, but instead picking up sub-(sub)domains in machine learning research and charting their research progress through these articles.Let’s get started — today, we will learn about the paper (published in 2018) that…