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In this paper, we focus on the separability of classes with the cross-entropy loss function for classification problems by theoretically analyzing the intra-class distance and inter-class distance (i.e.
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𝒢 \mathcal{G} -softmax: Improving intra-class compactness and inter-class separability of features
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