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 4376–4400 of 4856 papers

Title	Date	Tasks	Status
Robust Subspace Recovery Layer for Unsupervised Anomaly Detection	Mar 30, 2019	Anomaly DetectionDecoder	CodeCode Available
Temporal anomaly detection: calibrating the surprise	May 29, 2017	Anomaly Detection	CodeCode Available
Anomaly Detection with Density Estimation	Jan 14, 2020	Anomaly DetectionDensity Estimation	CodeCode Available
HACD: Harnessing Attribute Semantics and Mesoscopic Structure for Community Detection	Nov 4, 2024	Anomaly DetectionAttribute	CodeCode Available
RobustTrend: A Huber Loss with a Combined First and Second Order Difference Regularization for Time Series Trend Filtering	Jun 10, 2019	Anomaly DetectionSparse Learning	CodeCode Available
Adversarial Distillation of Bayesian Neural Network Posteriors	Jun 27, 2018	Active LearningAnomaly Detection	CodeCode Available
Group Anomaly Detection using Deep Generative Models	Apr 13, 2018	Anomaly DetectionGroup Anomaly Detection	CodeCode Available
Grid HTM: Hierarchical Temporal Memory for Anomaly Detection in Videos	May 30, 2022	Anomaly DetectionDeep Learning	CodeCode Available
Anomaly Detection with Adversarial Dual Autoencoders	Feb 19, 2019	Anomaly DetectionImage Generation	CodeCode Available
Temporal Cycle-Consistency Learning	Apr 16, 2019	Anomaly DetectionRepresentation Learning	CodeCode Available
RoCA: Robust Contrastive One-class Time Series Anomaly Detection with Contaminated Data	Mar 24, 2025	Anomaly DetectionContrastive Learning	CodeCode Available
Multi-Scale One-Class Recurrent Neural Networks for Discrete Event Sequence Anomaly Detection	Aug 31, 2020	Anomaly Detection	CodeCode Available
Anomaly Detection via Self-organizing Map	Jul 21, 2021	Anomaly DetectionUnsupervised Anomaly Detection	CodeCode Available
Anomaly Detection via oversampling Principal Component Analysis	Jul 1, 2013	Anomaly DetectionOutlier Detection	CodeCode Available
Data Augmentation is a Hyperparameter: Cherry-picked Self-Supervision for Unsupervised Anomaly Detection is Creating the Illusion of Success	Aug 16, 2022	Anomaly DetectionData Augmentation	CodeCode Available
Graph Spatiotemporal Process for Multivariate Time Series Anomaly Detection with Missing Values	Jan 11, 2024	Anomaly DetectionMissing Values	CodeCode Available
Unsupervised Features Ranking via Coalitional Game Theory for Categorical Data	May 17, 2022	Anomaly DetectionFeature Importance	CodeCode Available
Anomaly Detection via Graphical Lasso	Nov 10, 2018	Anomaly Detection	CodeCode Available
DeepWalk: Online Learning of Social Representations	Mar 26, 2014	Anomaly DetectionLanguage Modeling	CodeCode Available
Multitask Active Learning for Graph Anomaly Detection	Jan 24, 2024	Active LearningAnomaly Detection	CodeCode Available
Deep Symmetric Autoencoders from the Eckart-Young-Schmidt Perspective	Jun 13, 2025	Anomaly DetectionDimensionality Reduction	CodeCode Available
Unsupervised Graph Anomaly Detection via Multi-Hypersphere Heterophilic Graph Learning	Mar 15, 2025	Anomaly DetectionGraph Anomaly Detection	CodeCode Available
Multitask learning for improved scour detection: A dynamic wave tank study	Aug 29, 2024	Anomaly DetectionStructural Health Monitoring	CodeCode Available
Unsupervised Hybrid framework for ANomaly Detection (HAND) -- applied to Screening Mammogram	Sep 17, 2024	Anomaly DetectionOut of Distribution (OOD) Detection	CodeCode Available
Rule-Based Error Detection and Correction to Operationalize Movement Trajectory Classification	Aug 28, 2023	Anomaly Detection	CodeCode Available

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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