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 4601–4625 of 4856 papers

Title	Date	Tasks	Status	Hype
Anomaly Detection with Generative Adversarial Networks	Jan 1, 2018	Anomaly Detection	—Unverified	0
Bayesian Time Series Forecasting with Change Point and Anomaly Detection	Jan 1, 2018	Anomaly DetectionChange Point Detection	—Unverified	0
Deep Autoencoding Gaussian Mixture Model for Unsupervised Anomaly Detection	Jan 1, 2018	Anomaly DetectionDensity Estimation	CodeCode Available	0
End-to-End Abnormality Detection in Medical Imaging	Jan 1, 2018	Anomaly DetectionComputed Tomography (CT)	—Unverified	0
Future Frame Prediction for Anomaly Detection -- A New Baseline	Dec 28, 2017	Anomaly DetectionOptical Flow Estimation	CodeCode Available	1
Overcomplete Frame Thresholding for Acoustic Scene Analysis	Dec 25, 2017	Action DetectionActivity Detection	—Unverified	0
Squeezed Convolutional Variational AutoEncoder for Unsupervised Anomaly Detection in Edge Device Industrial Internet of Things	Dec 18, 2017	Anomaly DetectionEdge-computing	—Unverified	0
When Not to Classify: Anomaly Detection of Attacks (ADA) on DNN Classifiers at Test Time	Dec 18, 2017	Anomaly DetectionGeneral Classification	—Unverified	0
Outlier Detection by Consistent Data Selection Method	Dec 12, 2017	Anomaly DetectionClustering	—Unverified	0
MURA: Large Dataset for Abnormality Detection in Musculoskeletal Radiographs	Dec 11, 2017	Anomaly DetectionSpecificity	CodeCode Available	1
Recurrent Neural Network Language Models for Open Vocabulary Event-Level Cyber Anomaly Detection	Dec 2, 2017	Anomaly DetectionFeature Engineering	CodeCode Available	0
QCBA: Improving Rule Classifiers Learned from Quantitative Data by Recovering Information Lost by Discretisation	Nov 28, 2017	Anomaly DetectionClassification	CodeCode Available	0
Dropping Activation Outputs with Localized First-layer Deep Network for Enhancing User Privacy and Data Security	Nov 20, 2017	Anomaly DetectionDecision Making	—Unverified	0
Spatio-Temporal Data Mining: A Survey of Problems and Methods	Nov 13, 2017	Anomaly DetectionChange Detection	CodeCode Available	0
Image Captioning and Classification of Dangerous Situations	Nov 7, 2017	Anomaly DetectionClassification	—Unverified	0
A Multimodal Anomaly Detector for Robot-Assisted Feeding Using an LSTM-based Variational Autoencoder	Nov 2, 2017	Anomaly Detection	CodeCode Available	2
Unsupervised and Semi-supervised Anomaly Detection with LSTM Neural Networks	Oct 25, 2017	Anomaly DetectionSemi-supervised Anomaly Detection	—Unverified	0
Inductive Representation Learning in Large Attributed Graphs	Oct 25, 2017	Anomaly DetectionAttribute	—Unverified	0
Bayesian Hypernetworks	Oct 13, 2017	Active LearningAnomaly Detection	—Unverified	0
On the Runtime-Efficacy Trade-off of Anomaly Detection Techniques for Real-Time Streaming Data	Oct 12, 2017	Anomaly DetectionAstronomy	—Unverified	0
Machine Learning for Drug Overdose Surveillance	Oct 6, 2017	Anomaly DetectionBIG-bench Machine Learning	—Unverified	0
Deep Learning for Unsupervised Insider Threat Detection in Structured Cybersecurity Data Streams	Oct 2, 2017	Anomaly Detection	CodeCode Available	0
A Revisit of Sparse Coding Based Anomaly Detection in Stacked RNN Framework	Oct 1, 2017	Anomaly DetectionDiversity	CodeCode Available	0
The model of an anomaly detector for HiLumi LHC magnets based on Recurrent Neural Networks and adaptive quantization	Sep 28, 2017	Anomaly DetectionQuantization	CodeCode Available	0
Joint Detection and Recounting of Abnormal Events by Learning Deep Generic Knowledge	Sep 26, 2017	Anomaly DetectionEvent 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