Skip-GANomaly: Skip Connected and Adversarially Trained Encoder-Decoder Anomaly Detection

Despite inherent ill-definition, anomaly detection is a research endeavor of great interest within machine learning and visual scene understanding alike. Most commonly, anomaly detection is considered as the detection of outliers within a given data distribution based on some measure of normality... (read more)

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