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Semantic augmentation by mixing contents for semi-supervised learning
Leveraging unlabeled examples is a crucial issue for boosting performances in semi-supervised learning. In this work, we introduce the …
Remy Sun, Clément Masson, Gilles Hénaff, Nicolas Thome, Matthieu Cord
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Semantic augmentation by mixing contents for semi-supervised learning
KS(conf) A Light-Weight Test if a MultiClass Classifier Operates Outside of Its Specifications
Computer vision systems for automatic image categorization have become accurate and reliable enough that they can run continuously for …
Remy Sun, Christoph Lampert
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