Anomaly Detection

Anomaly Detection is a binary classification identifying unusual or unexpected patterns in a dataset, which deviate significantly from the majority of the data. The goal of anomaly detection is to identify such anomalies, which could represent errors, fraud, or other types of unusual events, and flag them for further investigation.

[Image source]: GAN-based Anomaly Detection in Imbalance Problems

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 4726–4750 of 4856 papers

Title	Date	Tasks	Status
Composite Kernel Local Angular Discriminant Analysis for Multi-Sensor Geospatial Image Analysis	Jul 18, 2016	Anomaly Detection	—Unverified
Incomplete Pivoted QR-based Dimensionality Reduction	Jul 12, 2016	Anomaly DetectionCollaborative Filtering	—Unverified
Real-Time Anomaly Detection for Streaming Analytics	Jul 8, 2016	Anomaly DetectionTime Series	CodeCode Available
How to Evaluate the Quality of Unsupervised Anomaly Detection Algorithms?	Jul 5, 2016	Anomaly DetectionSupervised Anomaly Detection	CodeCode Available
D\'etection automatique d'anomalies sur deux styles de parole dysarthrique: parole lue vs spontan\'ee (Automatic anomaly detection for dysarthria across two speech styles : read vs spontaneous speech)	Jul 1, 2016	Anomaly DetectionDiagnostic	—Unverified
Anomaly detection in video with Bayesian nonparametrics	Jun 27, 2016	Anomaly DetectionDecision Making	—Unverified
M3A: Model, MetaModel, and Anomaly Detection in Web Searches	Jun 20, 2016	Anomaly Detection	—Unverified
Holistic Features For Real-Time Crowd Behaviour Anomaly Detection	Jun 16, 2016	Anomaly DetectionBinary Classification	—Unverified
A New Approach to Dimensionality Reduction for Anomaly Detection in Data Traffic	Jun 14, 2016	Anomaly DetectionDimensionality Reduction	—Unverified
Unmanned Aerial System Security using Real-time Autopilot Software Analysis	Jun 7, 2016	Anomaly Detection	—Unverified
A Comparison of Event Representations in DEFT	Jun 1, 2016	Anomaly Detection	—Unverified
Anomaly Detection in XML-Structured SOAP Messages Using Tree-Based Association Rule Mining	May 20, 2016	Anomaly Detection	—Unverified
Detecting Relative Anomaly	May 12, 2016	Anomaly DetectionUnsupervised Anomaly Detection	—Unverified
A Scalable Approach for Outlier Detection in Edge Streams Using Sketch-based Approximations	May 7, 2016	Anomaly DetectionAnomaly Detection in Edge Streams	—Unverified
ODE - Augmented Training Improves Anomaly Detection in Sensor Data from Machines	May 5, 2016	Anomaly DetectionTime Series	—Unverified
Contrastive Structured Anomaly Detection for Gaussian Graphical Models	May 2, 2016	Anomaly Detection	—Unverified
Automatic Anomaly Detection for Dysarthria across Two Speech Styles: Read vs Spontaneous Speech	May 1, 2016	Anomaly Detection	—Unverified
Learning Temporal Regularity in Video Sequences	Apr 15, 2016	Abnormal Event Detection In VideoAnomaly Detection	CodeCode Available
Sparse Representation of Multivariate Extremes with Applications to Anomaly Ranking	Mar 31, 2016	Anomaly DetectionDimensionality Reduction	—Unverified
On the Detection of Mixture Distributions with applications to the Most Biased Coin Problem	Mar 25, 2016	Anomaly Detection	—Unverified
A Reconfigurable Low Power High Throughput Architecture for Deep Network Training	Mar 24, 2016	Anomaly DetectionDimensionality Reduction	—Unverified
Predictive Analytics Using Smartphone Sensors for Depressive Episodes	Mar 24, 2016	Anomaly Detection	—Unverified
A comprehensive study of sparse codes on abnormality detection	Mar 13, 2016	Anomaly DetectionEvent Detection	—Unverified
Mixture Proportion Estimation via Kernel Embedding of Distributions	Mar 8, 2016	Anomaly DetectionWeakly-supervised Learning	—Unverified
Data Cleaning for XML Electronic Dictionaries via Statistical Anomaly Detection	Feb 25, 2016	Anomaly DetectionOptical Character Recognition	—Unverified

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All datasets MVTec AD VisA MVTec LOCO AD One-class CIFAR-10 CUHK Avenue ShanghaiTech Fishyscapes L&F UCR Anomaly Archive MPDD BTAD One-class CIFAR-100 UBnormal

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	CPR-faster(TensorRT)	FPS	1,016	—	Unverified
2	CPR-fast(TensorRT)	FPS	362	—	Unverified
3	CPR(TensorRT)	FPS	130	—	Unverified
4	GLASS	Detection AUROC	99.9	—	Unverified
5	UniNet	Detection AUROC	99.9	—	Unverified
6	HETMM	Detection AUROC	99.8	—	Unverified
7	INP-Fomer ViT-L (model-unified multi-class)	Detection AUROC	99.8	—	Unverified
8	EfficientAD (early stopping)	Detection AUROC	99.8	—	Unverified
9	DDAD	Detection AUROC	99.8	—	Unverified
10	PBAS	Detection AUROC	99.8	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	UniNet	Detection AUROC	99.8	—	Unverified
2	GLAD	Detection AUROC	99.5	—	Unverified
3	UniNet(model-unified multi-class)	Detection AUROC	99.15	—	Unverified
4	INP-Former ViT-B (model-unified multi-class)	Detection AUROC	98.9	—	Unverified
5	DDAD	Detection AUROC	98.9	—	Unverified
6	Dinomaly ViT-L (model-unified multi-class)	Detection AUROC	98.9	—	Unverified
7	DiffusionAD	Detection AUROC	98.8	—	Unverified
8	GLASS	Detection AUROC	98.8	—	Unverified
9	TransFusion	Detection AUROC	98.7	—	Unverified
10	HETMM	Detection AUROC	98.1	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	CSAD	Avg. Detection AUROC	95.3	—	Unverified
2	PSAD	Avg. Detection AUROC	94.9	—	Unverified