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 2451–2460 of 4856 papers

Title	Date	Tasks	Status	Hype
Evaluation of Color Anomaly Detection in Multispectral Images For Synthetic Aperture Sensing	Nov 8, 2022	Anomaly DetectionUnsupervised Anomaly Detection	—Unverified	0
Quantum-probabilistic Hamiltonian learning for generative modelling & anomaly detection	Nov 7, 2022	Anomaly DetectionState Estimation	CodeCode Available	0
Privacy-Preserving Anomaly Detection in Stochastic Dynamical Systems: Synthesis of Optimal Gaussian Mechanisms	Nov 7, 2022	Anomaly DetectionPrivacy Preserving	—Unverified	0
Degradation Prediction of Semiconductor Lasers using Conditional Variational Autoencoder	Nov 5, 2022	Anomaly DetectionPrediction	—Unverified	0
A Comprehensive Survey of Regression Based Loss Functions for Time Series Forecasting	Nov 5, 2022	Anomaly Detectionregression	CodeCode Available	1
A Machine Learning-based Framework for Predictive Maintenance of Semiconductor Laser for Optical Communication	Nov 5, 2022	Anomaly DetectionDecision Making	—Unverified	0
Deep learning for structural health monitoring: An application to heritage structures	Nov 4, 2022	Anomaly DetectionStructural Health Monitoring	—Unverified	0
Discussion of Features for Acoustic Anomaly Detection under Industrial Disturbing Noise in an End-of-Line Test of Geared Motors	Nov 3, 2022	Anomaly DetectionDiversity	—Unverified	0
Exploiting Spatial-temporal Correlations for Video Anomaly Detection	Nov 2, 2022	Anomaly DetectionDiversity	—Unverified	0
DyAnNet: A Scene Dynamicity Guided Self-Trained Video Anomaly Detection Network	Nov 2, 2022	Anomaly DetectionVideo Anomaly Detection	—Unverified	0

Show:10 25 50

← PrevPage 246 of 486Next →

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