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 2026–2050 of 4856 papers

Title	Date	Tasks	Status	Hype
PV Fleet Modeling via Smooth Periodic Gaussian Copula	Jun 5, 2023	Anomaly DetectionTime Series	—Unverified	0
Disaster Anomaly Detector via Deeper FCDDs for Explainable Initial Responses	Jun 5, 2023	Anomaly DetectionDisaster Response	—Unverified	0
Comparative Study on Semi-supervised Learning Applied for Anomaly Detection in Hydraulic Condition Monitoring System	Jun 5, 2023	Anomaly Detection	—Unverified	0
Point Cloud Video Anomaly Detection Based on Point Spatio-Temporal Auto-Encoder	Jun 4, 2023	Anomaly DetectionVideo Anomaly Detection	—Unverified	0
Anomaly Detection Techniques in Smart Grid Systems: A Review	Jun 4, 2023	Anomaly DetectionFault Detection	—Unverified	0
Exploring Global and Local Information for Anomaly Detection with Normal Samples	Jun 3, 2023	Anomaly DetectionFault Diagnosis	—Unverified	0
UADB: Unsupervised Anomaly Detection Booster	Jun 3, 2023	Anomaly DetectionUnsupervised Anomaly Detection	CodeCode Available	1
AlerTiger: Deep Learning for AI Model Health Monitoring at LinkedIn	Jun 3, 2023	Anomaly DetectionDeep Learning	CodeCode Available	1
A Hybrid Approach for Smart Alert Generation	Jun 2, 2023	Anomaly DetectionFeature Engineering	—Unverified	0
GAD-NR: Graph Anomaly Detection via Neighborhood Reconstruction	Jun 2, 2023	Anomaly DetectionFraud Detection	CodeCode Available	1
Quantifying Sample Anonymity in Score-Based Generative Models with Adversarial Fingerprinting	Jun 2, 2023	Anomaly DetectionData Augmentation	—Unverified	0
Evaluating the Capabilities of Multi-modal Reasoning Models with Synthetic Task Data	Jun 1, 2023	Anomaly DetectionImage Generation	—Unverified	0
Graph-Level Embedding for Time-Evolving Graphs	Jun 1, 2023	Anomaly DetectionGraph Representation Learning	—Unverified	0
Interpreting GNN-based IDS Detections Using Provenance Graph Structural Features	Jun 1, 2023	Anomaly DetectionDecision Making	—Unverified	0
Anomaly Detection with Variance Stabilized Density Estimation	Jun 1, 2023	Anomaly DetectionDensity Estimation	CodeCode Available	0
Unsupervised Anomaly Detection in Medical Images Using Masked Diffusion Model	May 31, 2023	AnatomyAnomaly Detection	CodeCode Available	1
Mask, Stitch, and Re-Sample: Enhancing Robustness and Generalizability in Anomaly Detection through Automatic Diffusion Models	May 31, 2023	Anomaly DetectionImage Reconstruction	CodeCode Available	1
Quality In / Quality Out: Data quality more relevant than model choice in anomaly detection with the UGR'16	May 31, 2023	Anomaly Detection	—Unverified	0
A Shapelet-based Framework for Unsupervised Multivariate Time Series Representation Learning	May 30, 2023	Anomaly DetectionData Augmentation	CodeCode Available	1
PyPOTS: A Python Toolbox for Data Mining on Partially-Observed Time Series	May 30, 2023	Anomaly DetectionClassification	CodeCode Available	2
AnoOnly: Semi-Supervised Anomaly Detection with the Only Loss on Anomalies	May 30, 2023	Anomaly DetectionSemi-supervised Anomaly Detection	CodeCode Available	0
Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection	May 29, 2023	Anomaly DetectionGraph Anomaly Detection	CodeCode Available	1
On Diffusion Modeling for Anomaly Detection	May 29, 2023	Anomaly DetectionDenoising	CodeCode Available	1
AnoRand: A Semi Supervised Deep Learning Anomaly Detection Method by Random Labeling	May 28, 2023	Anomaly DetectionSemi-supervised Anomaly Detection	—Unverified	0
k-NNN: Nearest Neighbors of Neighbors for Anomaly Detection	May 28, 2023	Anomaly Detection	—Unverified	0

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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