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 2876–2900 of 4856 papers

Title	Date	Tasks	Status	Hype
Machine Learning-based Anomaly Detection in Optical Fiber Monitoring	Mar 19, 2022	Anomaly DetectionBIG-bench Machine Learning	—Unverified	0
No Shifted Augmentations (NSA): compact distributions for robust self-supervised Anomaly Detection	Mar 19, 2022	Anomaly DetectionOut of Distribution (OOD) Detection	—Unverified	0
Anomaly Detection in Emails using Machine Learning and Header Information	Mar 19, 2022	Anomaly DetectionBIG-bench Machine Learning	CodeCode Available	1
Nonnegative-Constrained Joint Collaborative Representation with Union Dictionary for Hyperspectral Anomaly Detection	Mar 18, 2022	Anomaly Detection	CodeCode Available	1
The Analysis of Online Event Streams: Predicting the Next Activity for Anomaly Detection	Mar 17, 2022	Activity PredictionAnomaly Detection	CodeCode Available	0
Context-Dependent Anomaly Detection with Knowledge Graph Embedding Models	Mar 17, 2022	Anomaly DetectionGraph Embedding	—Unverified	0
PiDAn: A Coherence Optimization Approach for Backdoor Attack Detection and Mitigation in Deep Neural Networks	Mar 17, 2022	Anomaly DetectionBackdoor Attack	—Unverified	0
Driving Anomaly Detection Using Conditional Generative Adversarial Network	Mar 15, 2022	Anomaly DetectionGenerative Adversarial Network	—Unverified	0
Sensitivity Estimation for Dark Matter Subhalos in Synthetic Gaia DR2 using Deep Learning	Mar 15, 2022	Anomaly DetectionSensitivity	—Unverified	0
A Framework for Verifiable and Auditable Federated Anomaly Detection	Mar 15, 2022	Anomaly DetectionEnsemble Learning	—Unverified	0
Practical data monitoring in the internet-services domain	Mar 15, 2022	Anomaly Detection	CodeCode Available	0
Feature space reduction as data preprocessing for the anomaly detection	Mar 13, 2022	Anomaly Detection	CodeCode Available	0
LesionPaste: One-Shot Anomaly Detection for Medical Images	Mar 12, 2022	Anomaly DetectionMedical Image Analysis	—Unverified	0
DeepTrust: A Reliable Financial Knowledge Retrieval Framework For Explaining Extreme Pricing Anomalies	Mar 11, 2022	Anomaly DetectionInformation Retrieval	CodeCode Available	1
Multiple Inputs Neural Networks for Medicare fraud Detection	Mar 11, 2022	Anomaly DetectionFraud Detection	—Unverified	0
Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection	Mar 10, 2022	3D Anomaly Detection3D Anomaly Detection and Segmentation	CodeCode Available	1
A Review of Open Source Software Tools for Time Series Analysis	Mar 10, 2022	Anomaly DetectionTime Series	—Unverified	0
TiSAT: Time Series Anomaly Transformer	Mar 10, 2022	Anomaly DetectionTime Series	CodeCode Available	0
Transfer Learning as an Essential Tool for Digital Twins in Renewable Energy Systems	Mar 9, 2022	Anomaly DetectionTransfer Learning	—Unverified	0
Anomaly Detection for Unmanned Aerial Vehicle Sensor Data Using a Stacked Recurrent Autoencoder Method with Dynamic Thresholding	Mar 9, 2022	Anomaly DetectionFault Detection	—Unverified	0
Machine Learning in NextG Networks via Generative Adversarial Networks	Mar 9, 2022	Anomaly DetectionBIG-bench Machine Learning	—Unverified	0
Generative Cooperative Learning for Unsupervised Video Anomaly Detection	Mar 8, 2022	Anomaly DetectionOne-Class Classification	—Unverified	0
Diffusion Models for Medical Anomaly Detection	Mar 8, 2022	Anomaly DetectionDenoising	CodeCode Available	1
Visual anomaly detection in video by variational autoencoder	Mar 8, 2022	Anomaly DetectionSelf-Driving Cars	—Unverified	0
Deep Learning Serves Traffic Safety Analysis: A Forward-looking Review	Mar 7, 2022	Anomaly DetectionAutonomous Vehicles	—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