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Found 3 papers, 1 papers with code
FoodX-251: A Dataset for Fine-grained Food Classification
Food classification is a challenging problem due to the large number of categories, high visual similarity between different foods, as well as the lack of datasets for training state-of-the-art deep models.
Combining Weakly and Webly Supervised Learning for Classifying Food Images
Food classification from images is a fine-grained classification problem.
Photo-realistic Facial Texture Transfer
We address the challenging problem of transferring face texture from a style face image to a content face image in a photorealistic manner without changing the identity of the original content image.
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