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 4581–4590 of 4856 papers

Title	Date	Tasks	Status	Hype
Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications	Feb 12, 2018	Anomaly DetectionUnsupervised Anomaly Detection	CodeCode Available	2
Video Event Recognition and Anomaly Detection by Combining Gaussian Process and Hierarchical Dirichlet Process Models	Feb 9, 2018	Anomaly DetectionGeneral Classification	—Unverified	0
Detection of Adversarial Training Examples in Poisoning Attacks through Anomaly Detection	Feb 8, 2018	Anomaly DetectionBIG-bench Machine Learning	CodeCode Available	0
A Spatial Mapping Algorithm with Applications in Deep Learning-Based Structure Classification	Feb 7, 2018	Anomaly DetectionBenchmarking	—Unverified	0
Representation Learning for Resource Usage Prediction	Feb 2, 2018	Anomaly DetectionPrediction	—Unverified	0
Clustering and Unsupervised Anomaly Detection with L2 Normalized Deep Auto-Encoder Representations	Feb 1, 2018	Anomaly DetectionClustering	—Unverified	0
One-class Collective Anomaly Detection based on Long Short-Term Memory Recurrent Neural Networks	Jan 31, 2018	Anomaly DetectionIntrusion Detection	—Unverified	0
Anomaly detection in wide area network mesh using two machine learning anomaly detection algorithms	Jan 30, 2018	Anomaly DetectionBIG-bench Machine Learning	—Unverified	0
A Theoretical Investigation of Graph Degree as an Unsupervised Normality Measure	Jan 24, 2018	Anomaly DetectionClustering	—Unverified	0
Learning Networks from Random Walk-Based Node Similarities	Jan 23, 2018	Anomaly DetectionClustering	CodeCode Available	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	UniNet	Detection AUROC	99.9	—	Unverified
5	GLASS	Detection AUROC	99.9	—	Unverified
6	PBAS	Detection AUROC	99.8	—	Unverified
7	HETMM	Detection AUROC	99.8	—	Unverified
8	INP-Fomer ViT-L (model-unified multi-class)	Detection AUROC	99.8	—	Unverified
9	DDAD	Detection AUROC	99.8	—	Unverified
10	EfficientAD (early stopping)	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	Dinomaly ViT-L (model-unified multi-class)	Detection AUROC	98.9	—	Unverified
5	INP-Former ViT-B (model-unified multi-class)	Detection AUROC	98.9	—	Unverified
6	DDAD	Detection AUROC	98.9	—	Unverified
7	GLASS	Detection AUROC	98.8	—	Unverified
8	DiffusionAD	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