GAN-based anomaly detection: A review

By X. Xia, Xizhou Pan, Nan Li, Xing He, Lin Ma, Xiaoguang Zhang, N. Ding. 2022

372 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Networks and Communications, Computer Vision and Pattern Recognition

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Bidyut Baran Chaudhuri
2. Satish Kumar Singh
3. Shiv Ram Dubey

In Computer Networks and Communications

1. Shiv Ram Dubey

In Computer Vision and Pattern Recognition

1. Bidyut Baran Chaudhuri
2. Satish Kumar Singh
3. Shiv Ram Dubey
4. Atlas Collaboration

Citations in the corpus

• Generative Adversarial Networks (2021, neutral): “In addition to image synthesis, GANs have been applied to a wide range of problems, s.a. data augmentation, style transfer [9], and anomaly detection [10].”
• Activation functions in deep learning: A comprehensive survey and benchmark (2021, background): “In recent years, deep learning has shown a tremondous growth to solve the challenging problems such as object detection [1], semantic segmentation [2], person re-identification [3], image retrieval [4], anomaly detection [5], skin disease diagnosis [6], and many more.”