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 2121–2130 of 4856 papers

Title	Date	Tasks	Status
Contrastive predictive coding for Anomaly Detection in Multi-variate Time Series Data	Feb 8, 2022	Anomaly DetectionTime Series	—Unverified
Contrastive Predictive Coding for Anomaly Detection	Jul 16, 2021	Anomaly DetectionAnomaly Segmentation	—Unverified
Anomaly Detection via Federated Learning	Oct 12, 2022	Anomaly DetectionFederated Learning	—Unverified
Contrastive Learning for Time Series on Dynamic Graphs	Sep 21, 2022	Activity RecognitionAnomaly Detection	—Unverified
Anomaly Detection via Controlled Sensing and Deep Active Inference	May 12, 2021	Anomaly DetectionDecision Making	—Unverified
A multi-domain splitting framework for time-varying graph structure	Sep 29, 2021	Anomaly Detection	—Unverified
General Anomaly Detection of Underwater Gliders Validated by Large-scale Deployment Datasets	Jul 31, 2023	Anomaly Detection	—Unverified
Anomaly Detection via Autoencoder Composite Features and NCE	Feb 4, 2025	Anomaly DetectionUnsupervised Anomaly Detection	—Unverified
Learning Informative Health Indicators Through Unsupervised Contrastive Learning	Aug 28, 2022	Anomaly DetectionContrastive Learning	—Unverified
A Deep Learning Approach for Ontology Enrichment from Unstructured Text	Dec 16, 2021	Anomaly DetectionDeep Learning	—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