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Data Augmentation in Emotion Classification Using Generative Adversarial Networks #215

Open joyhuang9473 opened 6 years ago

joyhuang9473 commented 6 years ago

Data Augmentation in Emotion Classification Using Generative Adversarial Networks

Author: Xinyue Zhu, Yifan Liu, Zengchang Qin, Jiahong Li
Origin: https://arxiv.org/abs/1711.00648
Related:

we design a framework with a CNN model as the classifier and a cycle-consistent adversarial networks (CycleGAN) as the generator.

Empirical results show that we can obtain 5%~10% increase in the classification accuracy after employing the GAN-based data augmentation techniques.

joyhuang9473 commented 6 years ago

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN https://github.com/hollobit/All-About-the-GAN