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 4276–4300 of 4856 papers

Title	Date	Tasks	Status	Hype
(1 + )-class Classification: an Anomaly Detection Method for Highly Imbalanced or Incomplete Data Sets	Jun 14, 2019	Anomaly DetectionGeneral Classification	CodeCode Available	0
Anomaly Detection with HMM Gauge Likelihood Analysis	Jun 14, 2019	Anomaly DetectionClustering	—Unverified	0
GluonTS: Probabilistic Time Series Models in Python	Jun 12, 2019	Anomaly DetectionTime Series	CodeCode Available	3
Warping Resilient Scalable Anomaly Detection in Time Series	Jun 12, 2019	Anomaly DetectionComputational Efficiency	—Unverified	0
Challenges in Time-Stamp Aware Anomaly Detection in Traffic Videos	Jun 11, 2019	Anomaly Detection	—Unverified	0
Deep Learning for Spatio-Temporal Data Mining: A Survey	Jun 11, 2019	Anomaly DetectionDeep Learning	—Unverified	0
Anomaly Detection in High Performance Computers: A Vicinity Perspective	Jun 11, 2019	Anomaly DetectionVocal Bursts Intensity Prediction	—Unverified	0
Time-Series Anomaly Detection Service at Microsoft	Jun 10, 2019	Anomaly DetectionSaliency Detection	CodeCode Available	1
RobustTrend: A Huber Loss with a Combined First and Second Order Difference Regularization for Time Series Trend Filtering	Jun 10, 2019	Anomaly DetectionSparse Learning	CodeCode Available	0
Outlier Exposure with Confidence Control for Out-of-Distribution Detection	Jun 8, 2019	Anomaly DetectionClassification	CodeCode Available	0
A Combination of Temporal Sequence Learning and Data Description for Anomaly-based NIDS	Jun 7, 2019	Anomaly DetectionIntrusion Detection	—Unverified	0
Deep Semi-Supervised Anomaly Detection	Jun 6, 2019	Anomaly DetectionOutlier Detection	CodeCode Available	0
Using anomaly detection to support classification of fast running (packaging) processes	Jun 6, 2019	Anomaly DetectionGeneral Classification	—Unverified	0
An Adaptive Training-less System for Anomaly Detection in Crowd Scenes	Jun 3, 2019	Anomaly Detectionobject-detection	—Unverified	0
Detecting Anomalies in Image Classification by Means of Semantic Relationships	Jun 1, 2019	Anomaly DetectionGeneral Classification	CodeCode Available	0
MVTec AD -- A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection	Jun 1, 2019	Anomaly Detection	CodeCode Available	1
ManTra-Net: Manipulation Tracing Network for Detection and Localization of Image Forgeries With Anomalous Features	Jun 1, 2019	Anomaly DetectionFake Image Detection	CodeCode Available	0
Time Series Anomaly Detection Using Convolutional Neural Networks and Transfer Learning	May 31, 2019	Anomaly DetectionTime Series	—Unverified	0
Bayesian Anomaly Detection Using Extreme Value Theory	May 29, 2019	Anomaly DetectionClustering	—Unverified	0
Exploiting Epistemic Uncertainty of Anatomy Segmentation for Anomaly Detection in Retinal OCT	May 29, 2019	AnatomyAnomaly Detection	—Unverified	0
Learning Temporal Causal Sequence Relationships from Real-Time Time-Series	May 29, 2019	Anomaly DetectionTime Series	—Unverified	0
Evaluation of Machine Learning-based Anomaly Detection Algorithms on an Industrial Modbus/TCP Data Set	May 28, 2019	Anomaly DetectionBIG-bench Machine Learning	—Unverified	0
Unsupervised Learning of Anomaly Detection from Contaminated Image Data using Simultaneous Encoder Training	May 27, 2019	Anomaly Detectionvalid	CodeCode Available	0
PNUNet: Anomaly Detection using Positive-and-Negative Noise based on Self-Training Procedure	May 27, 2019	Anomaly Detection	—Unverified	0
Fixing Bias in Reconstruction-based Anomaly Detection with Lipschitz Discriminators	May 26, 2019	Anomaly 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