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 891–900 of 4856 papers

Title	Date	Tasks	Status	Hype
Unsupervised Anomaly Detection for X-Ray Images	Jan 29, 2020	Anomaly DetectionUnsupervised Anomaly Detection	CodeCode Available	1
Semi-supervised Anomaly Detection using AutoEncoders	Jan 6, 2020	Anomaly DetectionAsset Management	CodeCode Available	1
Root Cause Detection Among Anomalous Time Series Using Temporal State Alignment	Jan 4, 2020	Anomaly DetectionTime Series	CodeCode Available	1
Perceptual Image Anomaly Detection	Sep 12, 2019	Anomaly DetectionImage Reconstruction	CodeCode Available	1
ToyADMOS: A Dataset of Miniature-Machine Operating Sounds for Anomalous Sound Detection	Aug 9, 2019	Anomaly DetectionFault Diagnosis	CodeCode Available	1
Constrained Concealment Attacks against Reconstruction-based Anomaly Detectors in Industrial Control Systems	Jul 17, 2019	Anomaly Detection	CodeCode Available	1
Time-Series Anomaly Detection Service at Microsoft	Jun 10, 2019	Anomaly DetectionSaliency Detection	CodeCode Available	1
MVTec AD -- A Comprehensive Real-World Dataset for Unsupervised Anomaly Detection	Jun 1, 2019	Anomaly Detection	CodeCode Available	1
Deep Anomaly Detection on Attributed Networks	May 2, 2019	Anomaly DetectionAttribute	CodeCode Available	1
Functional Isolation Forest	Apr 9, 2019	Anomaly Detection	CodeCode Available	1

Show:10 25 50

← PrevPage 90 of 486Next →

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