머신러닝(GAN등)을 기반으로 Anomaly Detection을 하는 예제 코드 및 논문, 설명이 있는 사이트들을 정리하였습니다.
- Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide Marker Discovery
https://arxiv.org/abs/1703.05921
- Anomaly Detection in Images
https://towardsdatascience.com/anomaly-detection-in-images-777534980aeb
- RNN based Time-series Anomaly detector model implemented in Pytorch
https://github.com/chickenbestlover/RNN-Time-series-Anomaly-Detection
- Tensorflow Implementation of AnoGAN (Anomaly GAN)
https://github.com/LeeDoYup/AnoGAN-tf
- Unsupervised anomaly detection with GAN 정리
https://sensibilityit.tistory.com/506
- anomaly detection with GAN
https://github.com/yjucho1/anoGAN
- Unsupervised anomaly detection with generative model, keras implementation
https://github.com/tkwoo/anogan-keras
- Anomaly detection
https://www.slideshare.net/ChulKim12/anomaly-detection-63382182
- Operational AI: 지속적으로 학습하는 Anomaly Detection 시스템 만들기
https://tv.naver.com/v/11207334
- Introduction to Deep Anomaly Detection
https://kh-kim.github.io/blog/2019/12/12/Deep-Anomaly-Detection.html
- Keras 로 구현한 AnoGAN
http://cedro3.com/ai/keras-anogan-anomaly/
- AnoGAN을 이용한 철강 소재 결함 검출 AI
https://www.slideshare.net/mobile/HYEJINLIM10/anogan-ai-127348006
* GAN 으로 생성한 이미지의 격자 무늬 없애기
https://distill.pub/2016/deconv-checkerboard/
[20200130_추가 링크]
- “Anomaly Detection 개요: (1) 이상치 탐지 분야에 대한 소개 및 주요 문제와 핵심 용어, 산업 현장 적용 사례 정리”
http://research.sualab.com/introduction/review/2020/01/30/anomaly-detection-overview-1.html
[20200207_추가 링크]
- Intro to anomaly detection with OpenCV, Computer Vision, and scikit-learn
https://www.pyimagesearch.com/2020/01/20/intro-to-anomaly-detection-with-opencv-computer-vision-and-scikit-learn/
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