Super Deformed Pose Collection Pdf 48

GAN samples can be used as an oversampling technique to solve problems with class imbalance. Lim et al. [97] show how GAN samples can be used for unsupervised anomaly detection. By oversampling rare normal samples, which are samples that occur with small probability, GANs are able to reduce the false positive rate of anomaly detection. They do this using the Adversarial Autoencoder framework proposed by Makhzani et al. [98] (Fig. 24). 2b1af7f3a8

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