This project proposes an end-to-end framework for semi-supervised Anomaly Detection and Segmentation in images based on Deep Learning.
unsupervised convolutional-autoencoder ssim anomaly-detection auto-encoder structural-similarity mvtec surface-inspection anomaly-segmentation anomaly-localization
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Updated
Dec 8, 2022 - Python