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 21–30 of 4856 papers

Title	Date	Tasks	Status	Hype
Joint attitude estimation and 3D neural reconstruction of non-cooperative space objects	Jun 25, 2025	3D ReconstructionAnomaly Detection	—Unverified	0
Benchmarking Unsupervised Strategies for Anomaly Detection in Multivariate Time Series	Jun 25, 2025	Anomaly DetectionBenchmarking	CodeCode Available	0
Behavioral Anomaly Detection in Distributed Systems via Federated Contrastive Learning	Jun 24, 2025	Anomaly DetectionContrastive Learning	—Unverified	0
Exact Matrix Seriation through Mathematical Optimization: Stress and Effectiveness-Based Models	Jun 24, 2025	Anomaly Detection	CodeCode Available	0
Quantitative Benchmarking of Anomaly Detection Methods in Digital Pathology	Jun 24, 2025	Anomaly DetectionArtifact Detection	—Unverified	0
Experimental Assessment of Neural 3D Reconstruction for Small UAV-based Applications	Jun 24, 2025	3D ReconstructionAnomaly Detection	—Unverified	0
Sequential keypoint density estimator: an overlooked baseline of skeleton-based video anomaly detection	Jun 23, 2025	Anomaly DetectionVideo Anomaly Detection	CodeCode Available	1
Trustworthy Prediction with Gaussian Process Knowledge Scores	Jun 23, 2025	Anomaly DetectionGPR	CodeCode Available	0
Robust Anomaly Detection in Network Traffic: Evaluating Machine Learning Models on CICIDS2017	Jun 23, 2025	Anomaly DetectionIntrusion Detection	—Unverified	0
TAB: Unified Benchmarking of Time Series Anomaly Detection Methods	Jun 22, 2025	Anomaly DetectionBenchmarking	CodeCode Available	2

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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