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 1501–1525 of 4856 papers

Title	Date	Tasks	Status	Score
FADE: Forecasting for Anomaly Detection on ECG	Feb 11, 2025	Anomaly DetectionDomain Adaptation	CodeCode Available	5
Exploring Scalable, Distributed Real-Time Anomaly Detection for Bridge Health Monitoring	Mar 4, 2022	Anomaly DetectionCloud Computing	CodeCode Available	5
Anomaly detection in the dynamics of web and social networks	Jan 22, 2019	Anomaly DetectionTime Series	CodeCode Available	5
Exploring the Influence of Dimensionality Reduction on Anomaly Detection Performance in Multivariate Time Series	Mar 7, 2024	Anomaly DetectionDimensionality Reduction	CodeCode Available	5
Algorithmic Frameworks for the Detection of High Density Anomalies	Oct 9, 2020	Anomaly DetectionVocal Bursts Intensity Prediction	CodeCode Available	5
Deep Anomaly Detection for Generalized Face Anti-Spoofing	Apr 17, 2019	Anomaly DetectionFace Anti-Spoofing	CodeCode Available	5
Extended Isolation Forest	Nov 6, 2018	Anomaly DetectionMulti-Object Tracking	CodeCode Available	5
Identifying Light-curve Signals with a Deep Learning Based Object Detection Algorithm. II. A General Light Curve Classification Framework	Nov 14, 2023	Anomaly DetectionConformal Prediction	CodeCode Available	5
Explain First, Trust Later: LLM-Augmented Explanations for Graph-Based Crypto Anomaly Detection	Jun 17, 2025	Anomaly Detection	CodeCode Available	5
Neural Network Training Strategy to Enhance Anomaly Detection Performance: A Perspective on Reconstruction Loss Amplification	Aug 28, 2023	Anomaly DetectionUnsupervised Anomaly Detection	CodeCode Available	5
Explainable Online Unsupervised Anomaly Detection for Cyber-Physical Systems via Causal Discovery from Time Series	Apr 15, 2024	Anomaly DetectionCausal Discovery	CodeCode Available	5
ALFA: A Dataset for UAV Fault and Anomaly Detection	Jul 14, 2019	Anomaly DetectionFault Detection	CodeCode Available	5
Explainable Machine Learning for Cyberattack Identification from Traffic Flows	May 2, 2025	Anomaly DetectionManagement	CodeCode Available	5
Deep Neural Network for Respiratory Sound Classification in Wearable Devices Enabled by Patient Specific Model Tuning	Apr 16, 2020	Anomaly DetectionGeneral Classification	CodeCode Available	5
Explaining Anomalies in Groups with Characterizing Subspace Rules	Aug 20, 2017	Anomaly DetectionDescriptive	CodeCode Available	5
Explainable Debugger for Black-box Machine Learning Models	Jul 18, 2021	Anomaly DetectionBIG-bench Machine Learning	CodeCode Available	5
Explainable Differential Privacy-Hyperdimensional Computing for Balancing Privacy and Transparency in Additive Manufacturing Monitoring	Jul 9, 2024	Anomaly DetectionDefect Detection	CodeCode Available	5
Normality-Calibrated Autoencoder for Unsupervised Anomaly Detection on Data Contamination	Oct 28, 2021	Anomaly DetectionUnsupervised Anomaly Detection	CodeCode Available	5
Experiment-based detection of service disruption attacks in optical networks using data analytics and unsupervised learning	Feb 1, 2019	Anomaly DetectionClustering	CodeCode Available	5
Expected Similarity Estimation for Large-Scale Batch and Streaming Anomaly Detection	Jan 25, 2016	Anomaly DetectionIncremental Learning	CodeCode Available	5
Explainable Anomaly Detection for Industrial Control System Cybersecurity	May 4, 2022	Anomaly DetectionExplainable artificial intelligence	CodeCode Available	5
OCGEC: One-class Graph Embedding Classification for DNN Backdoor Detection	Dec 4, 2023	Anomaly Detectionbackdoor defense	CodeCode Available	5
CDF Transform-and-Shift: An effective way to deal with datasets of inhomogeneous cluster densities	Oct 5, 2018	Anomaly DetectionClustering	CodeCode Available	5
Anomaly detection in radio galaxy data with trainable COSFIRE filters	May 24, 2025	Anomaly DetectionAstronomy	CodeCode Available	5
Examining the Source of Defects from a Mechanical Perspective for 3D Anomaly Detection	May 9, 2025	3D Anomaly Detection3D Anomaly Detection and Segmentation	CodeCode Available	5

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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