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 3126–3150 of 4856 papers

Title	Date	Tasks	Status	Hype
Latent-Insensitive autoencoders for Anomaly Detection	Oct 25, 2021	Anomaly DetectionClass Incremental Learning	—Unverified	0
Applications of Generative Adversarial Networks in Anomaly Detection: A Systematic Literature Review	Oct 22, 2021	Anomaly DetectionSystematic Literature Review	—Unverified	0
Uncertainty aware anomaly detection to predict errant beam pulses in the SNS accelerator	Oct 22, 2021	Anomaly DetectionBIG-bench Machine Learning	—Unverified	0
Generalized Out-of-Distribution Detection: A Survey	Oct 21, 2021	Anomaly DetectionAutonomous Driving	CodeCode Available	1
Synthetic Temporal Anomaly Guided End-to-End Video Anomaly Detection	Oct 19, 2021	Anomaly DetectionOne-Class Classification	CodeCode Available	1
Learning Not to Reconstruct Anomalies	Oct 19, 2021	Anomaly DetectionOne-Class Classification	CodeCode Available	1
Memory-augmented Adversarial Autoencoders for Multivariate Time-series Anomaly Detection with Deep Reconstruction and Prediction	Oct 15, 2021	Anomaly DetectionTime Series	—Unverified	0
Anomaly Detection in Multi-Agent Trajectories for Automated Driving	Oct 15, 2021	Anomaly Detection	CodeCode Available	1
A Semi-Supervised Approach for Abnormal Event Prediction on Large Operational Network Time-Series Data	Oct 14, 2021	Anomaly DetectionEvent Detection	—Unverified	0
Challenges for Unsupervised Anomaly Detection in Particle Physics	Oct 13, 2021	Anomaly DetectionUnsupervised Anomaly Detection	—Unverified	0
Deep Video Anomaly Detection: Opportunities and Challenges	Oct 11, 2021	Anomaly DetectionDeep Learning	—Unverified	0
A Survey on Proactive Customer Care: Enabling Science and Steps to Realize it	Oct 11, 2021	Anomaly DetectionSurvey	—Unverified	0
Multi-branch Neural Networks for Video Anomaly Detection in Adverse Lighting and Weather Conditions	Oct 10, 2021	Anomaly DetectionAnomaly Detection In Surveillance Videos	—Unverified	0
Focus Your Distribution: Coarse-to-Fine Non-Contrastive Learning for Anomaly Detection and Localization	Oct 9, 2021	Anomaly DetectionContrastive Learning	—Unverified	0
Hankel-structured Tensor Robust PCA for Multivariate Traffic Time Series Anomaly Detection	Oct 8, 2021	Anomaly DetectionTime Series	—Unverified	0
Minimal-Configuration Anomaly Detection for IIoT Sensors	Oct 8, 2021	Anomaly DetectionFeature Engineering	—Unverified	0
Anomaly Detection in Beehives: An Algorithm Comparison	Oct 8, 2021	Anomaly DetectionBIG-bench Machine Learning	—Unverified	0
AnoSeg: Anomaly Segmentation Network Using Self-Supervised Learning	Oct 7, 2021	Anomaly DetectionAnomaly Segmentation	—Unverified	0
Differential Anomaly Detection for Facial Images	Oct 7, 2021	Anomaly DetectionFace Recognition	—Unverified	0
Multivariate Anomaly Detection based on Prediction Intervals Constructed using Deep Learning	Oct 7, 2021	Anomaly DetectionDeep Learning	—Unverified	0
Generative Pre-Trained Transformer for Cardiac Abnormality Detection	Oct 7, 2021	Anomaly DetectionClassification	—Unverified	0
Tribuo: Machine Learning with Provenance in Java	Oct 6, 2021	Anomaly DetectionBIG-bench Machine Learning	CodeCode Available	2
A Uniform Framework for Anomaly Detection in Deep Neural Networks	Oct 6, 2021	Adversarial AttackAnomaly Detection	CodeCode Available	0
Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy	Oct 6, 2021	Anomaly DetectionTime Series	CodeCode Available	2
Fully Convolutional Cross-Scale-Flows for Image-based Defect Detection	Oct 6, 2021	Anomaly DetectionDefect Detection	CodeCode Available	1

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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