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the demo program of Adversarial Learned One-Class Classifier for Novelty Detection

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The demo program of ALOCC model

discription

Implementation of ALOCC using tensorflow. If any bug, please send me e-mail.
You have to download MNIST.npz from official site.
Now, modifing computation of AUC value. https://github.com/houssamzenati/Efficient-GAN-Anomaly-Detection/tree/master/data

official implementation

official implementation is here https://github.com/khalooei/ALOCC-CVPR2018

literature

Adversarially Learned One-Class Classifier for Novelty Detection

dependency

I confirmed operation only with..
1)python 3.6.3
2)tensorflow 1.7.0
3)numpy 1.14.2
4)Pillow 4.3.0

result Image

After learning about 200epochs using MNIST digit "1", I input "1" and other digits to R-Network.
resultimage_18110905_235 Right side is prediction for "1", and left side is prediction for other digits. From left colomn, input images, reconstructioned images, differences.

email

[email protected]

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