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 4031–4040 of 4856 papers

Title	Date	Tasks	Status
Predictive Digital Twin for Condition Monitoring Using Thermal Imaging	Nov 8, 2024	Anomaly DetectionAsset Management	—Unverified
Predictive Maintenance Model Based on Anomaly Detection in Induction Motors: A Machine Learning Approach Using Real-Time IoT Data	Oct 15, 2023	Anomaly DetectionMultiobjective Optimization	—Unverified
Predictive modeling and anomaly detection in large-scale web portals through the CAWAL framework	Feb 1, 2025	Anomaly DetectionDiversity	—Unverified
Preparing Weather Data for Real-Time Building Energy Simulation	Nov 19, 2020	Anomaly DetectionImputation	—Unverified
PressureTransferNet: Human Attribute Guided Dynamic Ground Pressure Profile Transfer using 3D simulated Pressure Maps	Aug 1, 2023	Activity RecognitionAnomaly Detection	—Unverified
Prevention of cyberattacks in WSN and packet drop by CI framework and information processing protocol using AI and Big Data	Jun 15, 2023	Anomaly Detection	—Unverified
Prior Knowledge Guided Network for Video Anomaly Detection	Sep 4, 2023	Anomaly DetectionKnowledge Distillation	—Unverified
Prior Normality Prompt Transformer for Multi-class Industrial Image Anomaly Detection	Jun 17, 2024	Anomaly DetectionMulti-class Anomaly Detection	—Unverified
PRISM: Privacy Preserving Healthcare Internet of Things Security Management	Dec 27, 2022	Anomaly DetectionEdge-computing	—Unverified
Privacy-Preserving Anomaly Detection in Stochastic Dynamical Systems: Synthesis of Optimal Gaussian Mechanisms	Nov 7, 2022	Anomaly DetectionPrivacy Preserving	—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	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