mvtec topic

Official PyTorch code for WACV 2022 paper "CFLOW-AD: Real-Time Unsupervised Anomaly Detection with Localization via Conditional Normalizing Flows"

gudovskiy

This project proposes an end-to-end framework for semi-supervised Anomaly Detection and Segmentation in images based on Deep Learning.

AdneneBoumessouer

This is an unofficial implementation of the paper “PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization”.

xiahaifeng1995

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

ORippler

Uninformed Students: Student-Teacher Anomaly Detection with Discriminative Latent Embeddings

taikiinoue45

PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization

taikiinoue45

Reconstruction by Inpainting Based Anomaly Detection

taikiinoue45

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

Pangoraw

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

LeapMind

EfficientNetV2 based PaDiM

JohnnyHopp