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

Repository for the Explainable Deep One-Class Classification paper

Vanilla torch and timm industrial knn-based anomaly detection for images.

Improving Unsupervised Defect Segmentation by Applying Structural Similarity to Autoencoders

Official Implementation for the "Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection" paper (VAND Workshop - CVPR 2023).

Code underlying our publication "Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection" at ICPR2020

This is an unofficial implementation of Reconstruction by inpainting for visual anomaly detection (RIAD).

Anomaly detection method that incorporates multi-scale features to sparse coding

Code to reproduce 'Combining GANs and AutoEncoders for efficient anomaly detection'

🐬 Re-implementation of PaDiM and code for the article "Weakly Supervised Detection of Marine Animals in High Resolution Aerial Images"

Semi-Orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation

Official implementation of the ECCV 2024 paper: TransFusion -- A Transparency-Based Diffusion Model for Anomaly Detection

🪥 Unofficial re-implementation of Semi-orthogonal Embedding for Efficient Unsupervised Anomaly Segmentation

This is an unofficial implementation of ' Anomaly localization by modeling perceptual features'

PatchCore method for Industrial Anomaly Detection + CLIP

EfficientNetV2 based PaDiM

The code for "Self-supervised Context Learning for Visual Inspection of Industrial Defects"

The solutions for the dacon competition (1st place).

Repository for the Exposing Outlier Exposure paper