Repository for the Explainable Deep One-Class Classification paper
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Updated
Aug 30, 2023 - Python
Repository for the Explainable Deep One-Class Classification paper
Official PyTorch code for WACV 2022 paper "CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows"
unoffical and work in progress PyTorch implementation of CutPaste
Industrial knn-based anomaly detection for images. Visit streamlit link to check out the demo.
Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders
This is an unofficial implementation of Reconstruction by inpainting for visual anomaly detection (RIAD).
Code underlying our publication "Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection" at ICPR2020
Official Implementation for the "Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection" paper.
Anomaly detection method that incorporates multi-scale features to sparse coding
Semi-Orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation
🪥 Unofficial re-implementation of Semi-orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation
Code to reproduce 'Combining GANs and AutoEncoders for efficient anomaly detection'
EfficientNetV2 based PaDiM
PatchCore method for Industrial Anomaly Detection + CLIP
This is an unofficial implementation of ' Anomaly localization by modeling perceptual features'
Repository for the Exposing Outlier Exposure paper
The solutions for the dacon competition (1st place).
🐬 Re-implementation of PaDiM and code for the article "Weakly Supervised Detection of Marine Animals in High Resolution Aerial Images"
This repository is an unofficial implementation of the network described in Wang, G., Han, S., Ding, E., & Huang, D. (2021). Student-Teacher Feature Pyramid Matching for Anomaly Detection. The British Machine Vision Conference (BMVC).
Source code for my master thesis "Anomaly detection with Convolutional Autoencoder"
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