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

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

Repository for the Explainable Deep One-Class Classification paper

Anomaly detection related books, papers, videos, and toolboxes

An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.

A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques

Repository for the paper "Rethinking Assumptions in Anomaly Detection"

Self-Supervised Learning for OOD Detection (NeurIPS 2019)

Project for <SPot-the-Difference Self-Supervised Pre-training for Anomaly Detection and Segmentation> (ECCV 2022)

This is an official implementation of the paper : "Target before Shooting: Accurate Anomaly Detection and Localization under One Millisecond via Cascade Patch Retrieval" (Accepted by IEEE TIP)

(CVPR 2023) Revisiting Reverse Distillation for Anomaly Detection