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 2421–2430 of 4856 papers

Title	Date	Tasks	Status	Hype
PNI : Industrial Anomaly Detection using Position and Neighborhood Information	Nov 22, 2022	Anomaly DetectionOutlier Detection	CodeCode Available	1
A Novel Center-based Deep Contrastive Metric Learning Method for the Detection of Polymicrogyria in Pediatric Brain MRI	Nov 22, 2022	Anomaly DetectionMetric Learning	CodeCode Available	0
Generalizable Industrial Visual Anomaly Detection with Self-Induction Vision Transformer	Nov 22, 2022	Anomaly Detection	—Unverified	0
U-Flow: A U-shaped Normalizing Flow for Anomaly Detection with Unsupervised Threshold	Nov 22, 2022	Anomaly DetectionAnomaly Segmentation	CodeCode Available	1
MGADN: A Multi-task Graph Anomaly Detection Network for Multivariate Time Series	Nov 22, 2022	Anomaly DetectionGraph Anomaly Detection	—Unverified	0
STGlow: A Flow-based Generative Framework with Dual Graphormer for Pedestrian Trajectory Prediction	Nov 21, 2022	Anomaly DetectionAutonomous Driving	—Unverified	0
DeSTSeg: Segmentation Guided Denoising Student-Teacher for Anomaly Detection	Nov 21, 2022	Anomaly DetectionDecoder	CodeCode Available	1
Machine Learning Methods for Anomaly Detection in Nuclear Power Plant Power Transformers	Nov 20, 2022	Anomaly DetectionTime Series Analysis	—Unverified	0
Normalizing Flows for Human Pose Anomaly Detection	Nov 20, 2022	Abnormal Event Detection In VideoAnomaly Detection	CodeCode Available	1
Pedestrian Spatio-Temporal Information Fusion For Video Anomaly Detection	Nov 18, 2022	Anomaly DetectionDecoder	—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	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