Data Distillation: Towards Omni-Supervised Learning

CVPR 2018 Ilija RadosavovicPiotr DollárRoss GirshickGeorgia GkioxariKaiming He

We investigate omni-supervised learning, a special regime of semi-supervised learning in which the learner exploits all available labeled data plus internet-scale sources of unlabeled data. Omni-supervised learning is lower-bounded by performance on existing labeled datasets, offering the potential to surpass state-of-the-art fully supervised methods... (read more)

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