Large-Margin Softmax Loss for Convolutional Neural Networks
ICML, pp. 507-516, 2012.
Cross-entropy loss together with softmax is arguably one of the most common used supervision components in convolutional neural networks (CNNs). Despite its simplicity, popularity and excellent performance, the component does not explicitly encourage discriminative learning of features. In this paper, we propose a generalized large-margin...More
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