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update README.md
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Hamadi Chihaoui committed Oct 14, 2021
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Expand Up @@ -8,16 +8,17 @@ Based on the used dataset in the training dataset

## UFDGAN
#### Assumptions:
Contaminated training set (the anomaly percentage is known)

- Contaminated training set
- the anomaly percentage is known

#### Why based on the unsupervised contrastive learning will not work?

The dataset is composed of multi modal data, but only one mode is labaled as anomaly. If the dataset is to a human, he will not be able to the anomaly exactly.
For that, the

<img src="assets/training_samples.JPG" alt="drawing" width="50%" height="50%"/>
For that, the

<p align="center">
<img src="assets/training_samples.JPG" alt="drawing" width="100%" height="100%"/>
</p>



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