A PyTorch implementation of the Deep SVDD anomaly detection method
A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.
Repository for the Deep One-Class Classification ICML 2018 paper
Repository for the Explainable Deep One-Class Classification paper
A PyTorch implementation of Context Vector Data Description (CVDD), a method for Anomaly Detection on text.
Official implementation of NeurIPS'23 paper "Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection"
Repository for the paper "Rethinking Assumptions in Anomaly Detection"
Pytorch implementation of code used for one-class anomaly detection based face anti-spoofing
Deep One-Class Classification using Intra-Class Splitting
Prior Generating Networks for Anomaly Detection
Repository for the Exposing Outlier Exposure paper
CLEAR: Cumulative LEARning for one-shot one-class image recognition (CVPR 2018)
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