Deep Generative Model using Unregularized Score for Anomaly Detection with Heterogeneous Complexity

Takashi Matsubara, Kenta Hama, Ryosuke Tachibana +1

Accurate and automated detection of anomalous samples in a natural image dataset can be accomplished with a probabilistic model for end-to-end modeling of images. Such images have…