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 2741–2750 of 4856 papers

Title	Date	Tasks	Status
Clustering of Time Series Data with Prior Geographical Information	Jul 3, 2021	Anomaly DetectionClustering	—Unverified
ClusterLog: Clustering Logs for Effective Log-based Anomaly Detection	Jan 19, 2023	Anomaly DetectionClustering	—Unverified
CNC: Cross-modal Normality Constraint for Unsupervised Multi-class Anomaly Detection	Dec 31, 2024	Anomaly DetectionAttribute	—Unverified
CoDetect: Financial Fraud Detection With Anomaly Feature Detection	Mar 26, 2018	Anomaly DetectionFraud Detection	—Unverified
COFT-AD: COntrastive Fine-Tuning for Few-Shot Anomaly Detection	Feb 29, 2024	Anomaly Detection	—Unverified
Coincident Learning for Unsupervised Anomaly Detection	Jan 26, 2023	Anomaly DetectionTime Series	—Unverified
Collaborative Anomaly Detection	Sep 20, 2022	Anomaly DetectionDensity Estimation	—Unverified
Collective Anomaly Detection based on Long Short Term Memory Recurrent Neural Network	Mar 28, 2017	Anomaly DetectionIntrusion Detection	—Unverified
Collective Awareness for Abnormality Detection in Connected Autonomous Vehicles	Oct 28, 2020	Anomaly DetectionAutonomous Vehicles	—Unverified
Combining Switching Mechanism with Re-Initialization and Anomaly Detection for Resiliency of Cyber-Physical Systems	Sep 21, 2024	Anomaly Detection	—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	UniNet	Detection AUROC	99.9	—	Unverified
5	GLASS	Detection AUROC	99.9	—	Unverified
6	PBAS	Detection AUROC	99.8	—	Unverified
7	HETMM	Detection AUROC	99.8	—	Unverified
8	INP-Fomer ViT-L (model-unified multi-class)	Detection AUROC	99.8	—	Unverified
9	DDAD	Detection AUROC	99.8	—	Unverified
10	EfficientAD (early stopping)	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	Dinomaly ViT-L (model-unified multi-class)	Detection AUROC	98.9	—	Unverified
5	INP-Former ViT-B (model-unified multi-class)	Detection AUROC	98.9	—	Unverified
6	DDAD	Detection AUROC	98.9	—	Unverified
7	GLASS	Detection AUROC	98.8	—	Unverified
8	DiffusionAD	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