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https://github.com/shinmura0/autoencoder_vs_metriclearning

AutoEncoder vs Metric Learning for Anomaly Detection
https://github.com/shinmura0/autoencoder_vs_metriclearning

anomaly-detection deep-learning keras machine-learning

Last synced: 4 months ago
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AutoEncoder vs Metric Learning for Anomaly Detection

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# 1.AutoEncoder_vs_MetricLearning
+ AutoEncoder vs Metric Learning for Anomaly Detection
+ Dataset:[MVTEC-AD](https://www.mvtec.com/company/research/datasets/mvtec-ad/)

Click [here](https://qiita.com/shinmura0/items/5c728da8a74208c1308f) for details(Japanese).

# 2.Simple method

|Picture|L2-SoftmaxLoss(AUC)|Simple method(AUC)|
|---|---|---|
|Cable|0.72|0.91|
|Leather|0.91|0.99|
|Carpet|0.71|0.8|
|Capsule|0.57|0.87|

Click [here](https://qiita.com/shinmura0/items/6c805498c390d5b35714) for details(Japanese).

# 3.Self Supervised(class3)
![fig](https://github.com/shinmura0/AutoEncoder_vs_MetricLearning/blob/master/fig.png "fig")
![fig2](https://github.com/shinmura0/AutoEncoder_vs_MetricLearning/blob/master/fig2.png "fig2")

Click [here](https://qiita.com/shinmura0/items/54585fccbb20cb2879fd) for details(Japanese).