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Skip-GANomaly

Implementation of Skip-GANomaly with MNIST dataset [Related repository].

Architecture

Simplified Skip-GANomaly architecture.

Graph in TensorBoard

Graph of Skip-GANomaly.

Problem Definition

'Class-1' is defined as normal and the others are defined as abnormal.

Results

Restoration result by Skip-GANomaly.

Box plot with encoding loss of test procedure.

Environment

  • Python 3.7.4
  • Tensorflow 1.14.0
  • Numpy 1.17.1
  • Matplotlib 3.1.1
  • Scikit Learn (sklearn) 0.21.3

Reference

[1] S Akcay, et al. (2018). Skip-ganomaly: Skip connected and adversarially trained encoder-decoder anomaly detection.. arXiv preprint arXiv:1901.08954.

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