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 411–420 of 4856 papers

Title	Date	Tasks	Status	Hype
Exploiting Point-Language Models with Dual-Prompts for 3D Anomaly Detection	Feb 16, 2025	3D Anomaly DetectionAnomaly Detection	—Unverified	0
Enhancing anomaly detection with topology-aware autoencoders	Feb 14, 2025	Anomaly Detection	—Unverified	0
Federated Learning-Driven Cybersecurity Framework for IoT Networks with Privacy-Preserving and Real-Time Threat Detection Capabilities	Feb 14, 2025	Anomaly DetectionFederated Learning	—Unverified	0
AnomalyGFM: Graph Foundation Model for Zero/Few-shot Anomaly Detection	Feb 13, 2025	Anomaly DetectionGraph Anomaly Detection	CodeCode Available	1
Unsupervised Anomaly Detection on Implicit Shape representations for Sarcopenia Detection	Feb 13, 2025	Anomaly DetectionUnsupervised Anomaly Detection	—Unverified	0
Privacy-Preserving Hybrid Ensemble Model for Network Anomaly Detection: Balancing Security and Data Protection	Feb 13, 2025	Anomaly DetectionPrivacy Preserving	—Unverified	0
CurvGAD: Leveraging Curvature for Enhanced Graph Anomaly Detection	Feb 12, 2025	Anomaly DetectionAttribute	—Unverified	0
Out-of-Distribution Detection on Graphs: A Survey	Feb 12, 2025	Anomaly DetectionGraph Anomaly Detection	CodeCode Available	1
GenIAS: Generator for Instantiating Anomalies in time Series	Feb 12, 2025	Anomaly DetectionDiversity	—Unverified	0
MAAT: Mamba Adaptive Anomaly Transformer with association discrepancy for time series	Feb 11, 2025	Anomaly DetectionAnomaly Localization	CodeCode Available	1

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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	INP-Fomer ViT-L (model-unified multi-class)	Detection AUROC	99.8	—	Unverified
7	DDAD	Detection AUROC	99.8	—	Unverified
8	EfficientAD (early stopping)	Detection AUROC	99.8	—	Unverified
9	PBAS	Detection AUROC	99.8	—	Unverified
10	HETMM	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	DDAD	Detection AUROC	98.9	—	Unverified
5	Dinomaly ViT-L (model-unified multi-class)	Detection AUROC	98.9	—	Unverified
6	INP-Former ViT-B (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