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 4476–4500 of 4856 papers

Title	Date	Tasks	Status
Unsupervised Detection of Anomalous Sound based on Deep Learning and the Neyman-Pearson Lemma	Oct 22, 2018	Anomaly DetectionLEMMA	CodeCode Available
A Stacked Autoencoder Neural Network based Automated Feature Extraction Method for Anomaly detection in On-line Condition Monitoring	Oct 19, 2018	Anomaly Detection	—Unverified
QANet: Tensor Decomposition Approach for Query-based Anomaly Detection in Heterogeneous Information Networks	Oct 19, 2018	Anomaly DetectionClustering	—Unverified
Unsupervised Anomalous Data Space Specification	Oct 18, 2018	Anomaly Detection	—Unverified
A Roadmap Towards Resilient Internet of Things for Cyber-Physical Systems	Oct 16, 2018	Anomaly DetectionAutonomous Vehicles	—Unverified
MDGAN: Boosting Anomaly Detection Using \ -Discriminator Generative Adversarial Networks	Oct 11, 2018	Anomaly Detectionvalid	—Unverified
Real time expert system for anomaly detection of aerators based on computer vision technology and existing surveillance cameras	Oct 9, 2018	Anomaly DetectionCultural Vocal Bursts Intensity Prediction	—Unverified
Spatially-weighted Anomaly Detection	Oct 5, 2018	Anomaly Detection	—Unverified
CDF Transform-and-Shift: An effective way to deal with datasets of inhomogeneous cluster densities	Oct 5, 2018	Anomaly DetectionClustering	CodeCode Available
Distributed optimization in wireless sensor networks: an island-model framework	Oct 5, 2018	Anomaly DetectionCPU	—Unverified
Clustering-based Anomaly Detection for microservices	Oct 4, 2018	Anomaly DetectionCloud Computing	—Unverified
Landmine Detection Using Autoencoders on Multi-polarization GPR Volumetric Data	Oct 2, 2018	Anomaly DetectionGPR	CodeCode Available
WAIC, but Why? Generative Ensembles for Robust Anomaly Detection	Oct 2, 2018	Anomaly DetectionOut of Distribution (OOD) Detection	CodeCode Available
Measuring sentence parallelism using Mahalanobis distances: The NRC unsupervised submissions to the WMT18 Parallel Corpus Filtering shared task	Oct 1, 2018	Anomaly DetectionMachine Translation	—Unverified
The Profiling Machine: Active Generalization over Knowledge	Oct 1, 2018	Anomaly DetectionManagement	—Unverified
Interactive Surveillance Technologies for Dense Crowds	Sep 27, 2018	Anomaly Detection	—Unverified
Multiple Abnormality Detection for Automatic Medical Image Diagnosis Using Bifurcated Convolutional Neural Network	Sep 16, 2018	Anomaly DetectionGeneral Classification	—Unverified
Online Cyber-Attack Detection in Smart Grid: A Reinforcement Learning Approach	Sep 14, 2018	Anomaly DetectionCyber Attack Detection	CodeCode Available
Identification of temporal transition of functional states using recurrent neural networks from functional MRI	Sep 14, 2018	Anomaly DetectionChange Point Detection	—Unverified
A Virtual Testbed for Critical Incident Investigation with Autonomous Remote Aerial Vehicle Surveying, Artificial Intelligence, and Decision Support	Sep 14, 2018	Anomaly DetectionRetrieval	—Unverified
Real-Time Nonparametric Anomaly Detection in High-Dimensional Settings	Sep 14, 2018	Anomaly DetectionVocal Bursts Intensity Prediction	CodeCode Available
Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series	Sep 13, 2018	Anomaly DetectionTime Series	CodeCode Available
Layerwise Perturbation-Based Adversarial Training for Hard Drive Health Degree Prediction	Sep 11, 2018	Anomaly DetectionCloud Computing	—Unverified
Convolutional Graph Auto-encoder: A Deep Generative Neural Architecture for Probabilistic Spatio-temporal Solar Irradiance Forecasting	Sep 10, 2018	Anomaly DetectionBayesian Inference	—Unverified
Does Your Phone Know Your Touch?	Sep 10, 2018	Anomaly DetectionPosition	—Unverified

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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