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 3901–3925 of 4856 papers

Title	Date	Tasks	Status	Hype
Uncertainty-Aware Deep Classifiers using Generative Models	Jun 7, 2020	Anomaly Detection	—Unverified	0
Hybrid Model for Anomaly Detection on Call Detail Records by Time Series Forecasting	Jun 7, 2020	Anomaly DetectionTime Series	—Unverified	0
LSTM-based Anomaly Detection for Non-linear Dynamical System	Jun 5, 2020	Anomaly DetectionPrediction	—Unverified	0
Anomaly Detection with Domain Adaptation	Jun 5, 2020	Anomaly DetectionDomain Adaptation	—Unverified	0
Acoustic Anomaly Detection for Machine Sounds based on Image Transfer Learning	Jun 5, 2020	Anomaly Detectionimage-classification	—Unverified	0
Unsupervised Abnormality Detection Using Heterogeneous Autonomous Systems	Jun 5, 2020	Anomaly DetectionAutonomous Vehicles	—Unverified	0
Data Augmentation using Generative Adversarial Networks (GANs) for GAN-based Detection of Pneumonia and COVID-19 in Chest X-ray Images	Jun 5, 2020	Anomaly DetectionData Augmentation	—Unverified	0
Dimensionless Anomaly Detection on Multivariate Streams with Variance Norm and Path Signature	Jun 5, 2020	Anomaly DetectionTime Series	CodeCode Available	0
Semi-supervised and Unsupervised Methods for Heart Sounds Classification in Restricted Data Environments	Jun 4, 2020	Anomaly DetectionDiagnostic	—Unverified	0
Anomaly Detection with Tensor Networks	Jun 3, 2020	Anomaly DetectionComputational Efficiency	—Unverified	0
Camouflaged Object Detection	Jun 1, 2020	Anomaly DetectionCamouflaged Object Segmentation	CodeCode Available	1
Rethinking Assumptions in Deep Anomaly Detection	May 30, 2020	Anomaly Detection	CodeCode Available	1
Investigation Into the Viability of Neural Networks as a Means for Anomaly Detection in Experiments Like Atlas at the LHC	May 29, 2020	Anomaly Detection	—Unverified	0
Machine learning methods to detect money laundering in the Bitcoin blockchain in the presence of label scarcity	May 29, 2020	Active LearningAnomaly Detection	CodeCode Available	1
Modeling the Distribution of Normal Data in Pre-Trained Deep Features for Anomaly Detection	May 28, 2020	Anomaly DetectionTransfer Learning	CodeCode Available	1
Tensor decomposition to Compress Convolutional Layers in Deep Learning	May 28, 2020	Anomaly DetectionDeep Learning	CodeCode Available	0
Anomaly Detection Based on Deep Learning Using Video for Prevention of Industrial Accidents	May 28, 2020	Anomaly DetectionBIG-bench Machine Learning	—Unverified	0
Anomaly Detection Under Controlled Sensing Using Actor-Critic Reinforcement Learning	May 26, 2020	Anomaly DetectionDecision Making	—Unverified	0
Learning Global and Local Features of Normal Brain Anatomy for Unsupervised Abnormality Detection	May 26, 2020	AnatomyAnomaly Detection	CodeCode Available	0
Unsupervised Online Anomaly Detection On Irregularly Sampled Or Missing Valued Time-Series Data Using LSTM Networks	May 25, 2020	Anomaly Detectionfeature selection	—Unverified	0
Factor Analysis of Mixed Data for Anomaly Detection	May 25, 2020	Anomaly Detection	—Unverified	0
SunDown: Model-driven Per-Panel Solar Anomaly Detection for Residential Arrays	May 25, 2020	Anomaly ClassificationAnomaly Detection	—Unverified	0
Master-Auxiliary: an efficient aggregation strategy for video anomaly detection	May 24, 2020	Anomaly DetectionVideo Anomaly Detection	—Unverified	0
Tractometry-based Anomaly Detection for Single-subject White Matter Analysis	May 22, 2020	Anomaly DetectionDiffusion MRI	—Unverified	0
A Robust Interpretable Deep Learning Classifier for Heart Anomaly Detection Without Segmentation	May 21, 2020	Anomaly DetectionClassification	—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