most citedData Augmentation in Emotion Classification Using Generative Adversarial Networks

78 citations · 78 across the 1 of their papers we have counts for

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cs.CV2017★ 78 cited

Data Augmentation in Emotion Classification Using Generative Adversarial Networks

Xinyue Zhu, Yifan Liu, Zengchang Qin +1

It is a difficult task to classify images with multiple class labels using only a small number of labeled examples, especially when the label (class) distribution is imbalanced. Em…