Corpus ID: 236447378

Discriminative-Generative Representation Learning for One-Class Anomaly Detection

@article{Xia2021DiscriminativeGenerativeRL,
  title={Discriminative-Generative Representation Learning for One-Class Anomaly Detection},
  author={Xuan Xia and Xizhou Pan and Xing He and Jingfei Zhang and Ning Ding and Lin Ma},
  journal={ArXiv},
  year={2021},
  volume={abs/2107.12753}
}
  • Xuan Xia, Xizhou Pan, +3 authors Lin Ma
  • Published 2021
  • Computer Science
  • ArXiv
As a kind of generative self-supervised learning methods, generative adversarial nets have been widely studied in the field of anomaly detection. However, the representation learning ability of the generator is limited since it pays too much attention to pixel-level details, and generator is difficult to learn abstract semantic representations from label prediction pretext tasks as effective as discriminator. In order to improve the representation learning ability of generator, we propose a… Expand

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