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 4776–4800 of 4856 papers

Title	Date	Tasks	Status
High Dimensional Data Modeling Techniques for Detection of Chemical Plumes and Anomalies in Hyperspectral Images and Movies	Sep 24, 2015	Anomaly Detection	—Unverified
Calibration of One-Class SVM for MV set estimation	Aug 30, 2015	Anomaly DetectionNovelty Detection	—Unverified
Online Anomaly Detection via Class-Imbalance Learning	Aug 27, 2015	Action DetectionActivity Detection	—Unverified
MultiView Diffusion Maps	Aug 23, 2015	Anomaly DetectionClustering	—Unverified
Multi-criteria Similarity-based Anomaly Detection using Pareto Depth Analysis	Aug 20, 2015	Anomaly Detection	—Unverified
A Framework of Sparse Online Learning and Its Applications	Jul 25, 2015	Anomaly DetectionClassification	—Unverified
On Identifying Anomalies in Tor Usage with Applications in Detecting Internet Censorship	Jul 21, 2015	Anomaly DetectionBlocking	—Unverified
Sparsity in Multivariate Extremes with Applications to Anomaly Detection	Jul 21, 2015	Anomaly DetectionDimensionality Reduction	—Unverified
Learning to classify with possible sensor failures	Jul 16, 2015	Anomaly DetectionGeneral Classification	—Unverified
Anomaly Detection and Removal Using Non-Stationary Gaussian Processes	Jul 2, 2015	Anomaly DetectionEEG	—Unverified
Detecting Clusters of Anomalies on Low-Dimensional Feature Subsets with Application to Network Traffic Flow Data	Jun 10, 2015	Anomaly DetectionGroup Anomaly Detection	—Unverified
Optimal Sparse Kernel Learning for Hyperspectral Anomaly Detection	Jun 8, 2015	Anomaly Detectionfeature selection	—Unverified
From Light to Rich ERE: Annotation of Entities, Relations, and Events	Jun 1, 2015	Anomaly DetectionReading Comprehension	—Unverified
Video Anomaly Detection and Localization Using Hierarchical Feature Representation and Gaussian Process Regression	Jun 1, 2015	Anomaly Detectionregression	—Unverified
Modeling Representation of Videos for Anomaly Detection using Deep Learning: A Review	May 4, 2015	Action RecognitionAnomaly Detection	—Unverified
Long Short Term Memory Networks for Anomaly Detection in Time Series	Apr 22, 2015	Anomaly DetectionFault Detection	CodeCode Available
Robust Anomaly Detection Using Semidefinite Programming	Apr 3, 2015	Anomaly Detection	—Unverified
Unsupervised Video Analysis Based on a Spatiotemporal Saliency Detector	Mar 24, 2015	Anomaly DetectionForeground Segmentation	—Unverified
Interpretable Aircraft Engine Diagnostic via Expert Indicator Aggregation	Mar 18, 2015	Anomaly DetectionDiagnostic	—Unverified
A Meta-Analysis of the Anomaly Detection Problem	Mar 3, 2015	Anomaly DetectionBenchmarking	CodeCode Available
Sequential Feature Explanations for Anomaly Detection	Feb 28, 2015	Anomaly Detection	—Unverified
A Dictionary Approach to EBSD Indexing	Feb 26, 2015	Anomaly DetectionUncertainty Quantification	—Unverified
Spatio-temporal Video Parsing for Abnormality Detection	Feb 22, 2015	Anomaly Detection	—Unverified
Crowded Scene Analysis: A Survey	Feb 6, 2015	Anomaly DetectionSurvey	—Unverified
Learning Efficient Anomaly Detectors from K-NN Graphs	Feb 6, 2015	Anomaly DetectionComputational Efficiency	—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