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 4501–4525 of 4856 papers

Title	Date	Tasks	Status
Coupled IGMM-GANs for deep multimodal anomaly detection in human mobility data	Sep 8, 2018	Anomaly DetectionFeature Engineering	—Unverified
Multi-level hypothesis testing for populations of heterogeneous networks	Sep 7, 2018	Anomaly DetectionTwo-sample testing	—Unverified
Anomaly Detection in the Presence of Missing Values	Sep 5, 2018	Anomaly DetectionImputation	—Unverified
An Open Access Database for Evaluating the Algorithms of Electrocardiogram Rhythm and Morphology Abnormality Detection	Sep 1, 2018	Anomaly DetectionRhythm	—Unverified
DeepFall -- Non-invasive Fall Detection with Deep Spatio-Temporal Convolutional Autoencoders	Aug 30, 2018	Anomaly Detection	CodeCode Available
AAD: Adaptive Anomaly Detection through traffic surveillance videos	Aug 29, 2018	Action DetectionActivity Detection	—Unverified
Surface Defect Saliency of Magnetic Tile	Aug 24, 2018	Anomaly DetectionDefect Detection	CodeCode Available
DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN	Aug 23, 2018	Anomaly DetectionData Augmentation	—Unverified
Enhanced network anomaly detection based on deep neural networks	Aug 17, 2018	Anomaly DetectionBIG-bench Machine Learning	—Unverified
Neuromorphic Architecture for the Hierarchical Temporal Memory	Aug 17, 2018	Anomaly DetectionSelf-Learning	—Unverified
Metric Learning for Novelty and Anomaly Detection	Aug 16, 2018	Anomaly DetectionMetric Learning	CodeCode Available
Band selection with Higher Order Multivariate Cumulants for small target detection in hyperspectral images	Aug 10, 2018	Anomaly DetectionUnsupervised Anomaly Detection	CodeCode Available
Image Anomalies: a Review and Synthesis of Detection Methods	Aug 7, 2018	Anomaly Detection	—Unverified
Robust Spectral Filtering and Anomaly Detection	Aug 3, 2018	Anomaly Detection	—Unverified
Anomaly Detection via Minimum Likelihood Generative Adversarial Networks	Aug 1, 2018	Anomaly DetectionIntrusion Detection	—Unverified
Scalable Multi-Task Gaussian Process Tensor Regression for Normative Modeling of Structured Variation in Neuroimaging Data	Jul 31, 2018	Anomaly DetectionMulti-Task Learning	—Unverified
Call Detail Records Driven Anomaly Detection and Traffic Prediction in Mobile Cellular Networks	Jul 30, 2018	Anomaly DetectionBIG-bench Machine Learning	—Unverified
Detector monitoring with artificial neural networks at the CMS experiment at the CERN Large Hadron Collider	Jul 27, 2018	Anomaly Detection	CodeCode Available
Automatic Bayesian Density Analysis	Jul 24, 2018	Anomaly DetectionBayesian Inference	—Unverified
Anomaly detection in static networks using egonets	Jul 24, 2018	Anomaly Detection	—Unverified
SAIFE: Unsupervised Wireless Spectrum Anomaly Detection with Interpretable Features	Jul 22, 2018	Anomaly DetectionData Compression	CodeCode Available
Anomaly Detection for Water Treatment System based on Neural Network with Automatic Architecture Optimization	Jul 19, 2018	Anomaly Detection	—Unverified
NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic Networks	Jul 19, 2018	Anomaly DetectionLearning Network Representations	CodeCode Available
Comparison of RNN Encoder-Decoder Models for Anomaly Detection	Jul 17, 2018	Anomaly DetectionDecoder	—Unverified
Deep Generative Model using Unregularized Score for Anomaly Detection with Heterogeneous Complexity	Jul 16, 2018	Anomaly Detection	—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