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 1041–1050 of 4856 papers

Title	Date	Tasks	Status	Score
A Taxonomy of Network Threats and the Effect of Current Datasets on Intrusion Detection Systems	Jun 9, 2018	Anomaly DetectionIntrusion Detection	CodeCode Available	5
Anomaly Detection in Echocardiograms with Dynamic Variational Trajectory Models	Jun 30, 2022	Anomaly Detection	CodeCode Available	5
Integrating Quantum-Classical Attention in Patch Transformers for Enhanced Time Series Forecasting	Mar 31, 2025	Anomaly DetectionMultivariate Time Series Forecasting	CodeCode Available	5
Interdependency Matters: Graph Alignment for Multivariate Time Series Anomaly Detection	Oct 11, 2024	Anomaly DetectionTime Series	CodeCode Available	5
Input complexity and out-of-distribution detection with likelihood-based generative models	Sep 25, 2019	Anomaly DetectionOut-of-Distribution Detection	CodeCode Available	5
InQMAD: Incremental Quantum Measurement Anomaly Detection	Oct 11, 2022	Anomaly DetectionDensity Estimation	CodeCode Available	5
Inexact Block Coordinate Descent Algorithms for Nonsmooth Nonconvex Optimization	May 10, 2019	Anomaly DetectionRetrieval	CodeCode Available	5
Inferring Networks From Random Walk-Based Node Similarities	Dec 1, 2018	Anomaly DetectionClustering	CodeCode Available	5
Industrial Image Anomaly Localization Based on Gaussian Clustering of Pretrained Feature	Jan 6, 2021	Anomaly DetectionAnomaly Localization	CodeCode Available	5
InForecaster: Forecasting Influenza Hemagglutinin Mutations Through the Lens of Anomaly Detection	Oct 25, 2022	Anomaly Detection	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