mvtec-ad topic
fcdd
Repository for the Explainable Deep One-Class Classification paper
cflow-ad
Official PyTorch code for WACV 2022 paper "CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows"
pytorch-cutpaste
unoffical and work in progress PyTorch implementation of CutPaste
ind_knn_ad
Vanilla torch and timm industrial knn-based anomaly detection for images.
gaussian-ad-mvtec
Code underlying our publication "Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection" at ICPR2020
Reconstruction-by-inpainting-for-visual-anomaly-detection
This is an unofficial implementation of Reconstruction by inpainting for visual anomaly detection (RIAD).
AutoEncoder-SSIM-for-unsupervised-anomaly-detection-
Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders
cbigan-ad
Code to reproduce 'Combining GANs and AutoEncoders for efficient anomaly detection'
PaDiM
:dolphin: Re-implementation of PaDiM and code for the article "Weakly Supervised Detection of Marine Animals in High Resolution Aerial Images"
SemiOrthogonal
:toothbrush: Unofficial re-implementation of Semi-orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation