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 451–475 of 4856 papers

Title	Date	Tasks	Status	Hype
A Shapelet-based Framework for Unsupervised Multivariate Time Series Representation Learning	May 30, 2023	Anomaly DetectionData Augmentation	CodeCode Available	1
Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection	May 29, 2023	Anomaly DetectionGraph Anomaly Detection	CodeCode Available	1
On Diffusion Modeling for Anomaly Detection	May 29, 2023	Anomaly DetectionDenoising	CodeCode Available	1
Improving Position Encoding of Transformers for Multivariate Time Series Classification	May 26, 2023	Anomaly DetectionPosition	CodeCode Available	1
ReConPatch : Contrastive Patch Representation Learning for Industrial Anomaly Detection	May 26, 2023	Anomaly DetectionContrastive Learning	CodeCode Available	1
Demystifying Fraudulent Transactions and Illicit Nodes in the Bitcoin Network for Financial Forensics	May 25, 2023	Anomaly DetectionFraud Detection	CodeCode Available	1
Fascinating Supervisory Signals and Where to Find Them: Deep Anomaly Detection with Scale Learning	May 25, 2023	Anomaly Detection	CodeCode Available	1
Beyond Individual Input for Deep Anomaly Detection on Tabular Data	May 24, 2023	Anomaly Detection	CodeCode Available	1
SAD: Semi-Supervised Anomaly Detection on Dynamic Graphs	May 23, 2023	Anomaly DetectionContrastive Learning	CodeCode Available	1
Concurrent Misclassification and Out-of-Distribution Detection for Semantic Segmentation via Energy-Based Normalizing Flow	May 16, 2023	Anomaly DetectionOut-of-Distribution Detection	CodeCode Available	1
Component-aware anomaly detection framework for adjustable and logical industrial visual inspection	May 15, 2023	Anomaly ClassificationAnomaly Detection	CodeCode Available	1
AnomalyBERT: Self-Supervised Transformer for Time Series Anomaly Detection using Data Degradation Scheme	May 8, 2023	Anomaly DetectionTime Series	CodeCode Available	1
Unsupervised anomaly detection algorithms on real-world data: how many do we need?	May 1, 2023	Anomaly DetectionUnsupervised Anomaly Detection	CodeCode Available	1
Detecting Socially Abnormal Highway Driving Behaviors via Recurrent Graph Attention Networks	Apr 23, 2023	Anomaly DetectionGraph Attention	CodeCode Available	1
Graph Neural Network-Based Anomaly Detection for River Network Systems	Apr 19, 2023	Anomaly DetectionBenchmarking	CodeCode Available	1
Spot The Odd One Out: Regularized Complete Cycle Consistent Anomaly Detector GAN	Apr 16, 2023	Anomaly DetectionOdd One Out	CodeCode Available	1
Rail Detection: An Efficient Row-based Network and A New Benchmark	Apr 12, 2023	Anomaly DetectionLane Detection	CodeCode Available	1
Toward Unsupervised 3D Point Cloud Anomaly Detection using Variational Autoencoder	Apr 7, 2023	Anomaly DetectionUnsupervised Anomaly Detection	CodeCode Available	1
Industrial Anomaly Detection with Domain Shift: A Real-world Dataset and Masked Multi-scale Reconstruction	Apr 5, 2023	Anomaly DetectionDiversity	CodeCode Available	1
OneShotSTL: One-Shot Seasonal-Trend Decomposition For Online Time Series Anomaly Detection And Forecasting	Apr 4, 2023	Anomaly DetectionTime Series	CodeCode Available	1
Unsupervised Anomaly Detection and Localization of Machine Audio: A GAN-based Approach	Mar 31, 2023	Anomaly DetectionAnomaly Localization	CodeCode Available	1
Long-Short Temporal Co-Teaching for Weakly Supervised Video Anomaly Detection	Mar 31, 2023	Anomaly DetectionMultiple Instance Learning	CodeCode Available	1
You Only Train Once: Learning a General Anomaly Enhancement Network with Random Masks for Hyperspectral Anomaly Detection	Mar 31, 2023	Anomaly DetectionModel Selection	CodeCode Available	1
Visual Anomaly Detection via Dual-Attention Transformer and Discriminative Flow	Mar 31, 2023	Anomaly Detection	CodeCode Available	1
GAT-COBO: Cost-Sensitive Graph Neural Network for Telecom Fraud Detection	Mar 29, 2023	Anomaly DetectionFraud 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