Data-Efficient Semi-Supervised Learning by Reliable Edge Mining

CVPR 2020 Peibin Chen Tao Ma Xu Qin Weidi Xu Shuchang Zhou

Learning powerful discriminative features is a challenging task in Semi-Supervised Learning, as the estimation of the feature space is more likely to be wrong with scarcer labeled data. Previous methods utilize a relation graph with edges representing 'similarity' or 'dissimilarity' between nodes... (read more)

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