Anormaly Detection Technology Learning Collection

This is a Simple Collection of Knowledges related to Anormaly Detection based on Deep Learning Technology. Including Project\Paper\Links.

A brand new One Class Classification method with Deep Learning tech,proposed in 2018.

example code by lukasruff, based on Pytorch, including MNIST\CIFAR, (CNN).

https://github.com/lukasruff/Deep-SVDD-PyTorch

http://proceedings.mlr.press/v80/ruff18a/ruff18a.pdf

关于OCSVM与SVDD的理解

https://blog.csdn.net/WangZixuan1111/article/details/106612305

Related Paper[3]:

[PED09]Deep one-class classification笔记

https://blog.csdn.net/zpainter/article/details/88619865

One-class SVM with non-linear kernel (RBF) example code by sklearn.

https://scikit-learn.org/stable/auto_examples/svm/plot_oneclass.html

无监督︱异常、离群点检测 一分类——OneClassSVM

https://mattzheng.blog.csdn.net/article/details/76647272

Related Paper[2]:

关于OCSVM与SVDD的理解

https://blog.csdn.net/WangZixuan1111/article/details/106612305

Related Paper[3]:

什么是一类支持向量机（one class SVM）

https://www.zhihu.com/question/22365729/answer/115048306

Related Paper[4]:

One-Class SVM介绍

https://zhuanlan.zhihu.com/p/32784067

Learning Deep Features for One-Class Classification

https://arxiv.org/pdf/1801.05365.pdf