Virtual Class Enhanced Discriminative Embedding Learning

NeurIPS 2018 Binghui ChenWeihong DengHaifeng Shen

Recently, learning discriminative features to improve the recognition performances gradually becomes the primary goal of deep learning, and numerous remarkable works have emerged. In this paper, we propose a novel yet extremely simple method \textbf{Virtual Softmax} to enhance the discriminative property of learned features by injecting a dynamic virtual negative class into the original softmax... (read more)

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