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Unsupervised Anomaly Detection with Generative Adversarial Networks to Guide ...
Unsupervised anomaly detection with generative adversarial networks to guide marker discovery. -
Same Same but Different: Semi-Supervised Defect Detection with Normalizing Flows
Same same but different: Semi-supervised defect detection with normalizing flows. -
Reconstruction by Inpainting for Visual Anomaly Detection
Reconstruction by inpainting for visual anomaly detection. -
Towards Total Recall in Industrial Anomaly Detection
Towards total recall in industrial anomaly detection. -
Memorizing Normality to Detect Anomaly
Memorizing normality to detect anomaly: Memory-augmented deep autoencoder for unsupervised anomaly detection. -
SWaT and WADI datasets
The dataset is used for multivariate anomaly detection on time series data generated by cyber-physical systems. -
Adaptive Online Learning with Regularized Kernel for One-class Classification
This paper presents adaptive online learning with regularized kernel for one-class classification. -
LesionPaste: One-Shot Anomaly Detection for Medical Images
LesionPaste is a one-shot anomaly detection framework for medical images that utilizes true anomalies from a single sample and synthesizes artificial anomalous samples. -
Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs...
The authors used 18 well-maintained business KPIs from a large Internet company. All KPIs have an interval of 1 minute between two observations. -
Anomaly Detection in Cyber-Physical Systems
The dataset is used for anomaly detection in cyber-physical systems. -
Anomaly Detection
The dataset is used for anomaly detection in various fields. -
TFDPM: Attack detection for cyber-physical systems with diffusion probabilisti...
The dataset is used for attack detection for cyber-physical systems (CPSs) with diffusion probabilistic models. -
Mvtec LOCO AD
A recently introduced dataset designed for detecting logical anomalies -
Dual-Attention Transformer and Discriminative Flow for Visual Anomaly Detection
The proposed DADF framework for visual anomaly detection -
Loganomaly: Unsupervised detection of sequential and quantitative anomalies i...
The dataset used in this paper for log parsing evaluation