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 1461–1470 of 4856 papers

Title	Date	Tasks	Status	Hype
PHMD: An easy data access tool for prognosis and health management datasets	Jan 22, 2024	Anomaly DetectionFault Detection	CodeCode Available	1
Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey and the Open Libraries Behind Them	Jan 22, 2024	Anomaly DetectionModel extraction	—Unverified	0
Unsupervised Machine Learning for the Classification of Astrophysical X-ray Sources	Jan 22, 2024	Anomaly DetectionAstronomy	CodeCode Available	1
A Review of Physics-Informed Machine Learning Methods with Applications to Condition Monitoring and Anomaly Detection	Jan 22, 2024	Anomaly DetectionComputational Efficiency	—Unverified	0
GI-PIP: Do We Require Impractical Auxiliary Dataset for Gradient Inversion Attacks?	Jan 22, 2024	Anomaly DetectionFederated Learning	CodeCode Available	1
Symbrain: A large-scale dataset of MRI images for neonatal brain symmetry analysis	Jan 22, 2024	Anomaly Detection	CodeCode Available	0
Broiler-Net: A Deep Convolutional Framework for Broiler Behavior Analysis in Poultry Houses	Jan 22, 2024	Anomaly Detection	CodeCode Available	1
DACR: Distribution-Augmented Contrastive Reconstruction for Time-Series Anomaly Detection	Jan 20, 2024	Anomaly DetectionContrastive Learning	—Unverified	0
TreeMIL: A Multi-instance Learning Framework for Time Series Anomaly Detection with Inexact Supervision	Jan 20, 2024	Anomaly DetectionTime Series	CodeCode Available	1
PhoGAD: Graph-based Anomaly Behavior Detection with Persistent Homology Optimization	Jan 19, 2024	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