Anomaly Detection

Study for industrial defect segmentation and detection.

Quick Start

package install

$ pip install -r requirements.txt

Table of Contents

• Related Works
• Ex1. AnoGAN
• Ex2. AutoEncoder

Related Works

Image Anomaly Detection

Paper

• Unsupervised anomaly detection with generative adversarial networks to guide marker discovery | Schlegl, Thomas, et al | [IPMI 2017] | [pdf]

• Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders | Bergmann, Paul, et al | [arXiv 2018] | [pdf]

• Deep autoencoding models for unsupervised anomaly segmentation in brain mr images | Baur, Christoph, et al | [MICCAI 2018] | [pdf]

Dataset

• MVTec AD--A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection | Bergmann, Paul, et al | [CVPR 2019] | [pdf]

Code

• AnoGAN | [tensorflow], [keras]