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 2126–2150 of 4856 papers

Title	Date	Tasks	Status	Hype
Exploring Diffusion Models for Unsupervised Video Anomaly Detection	Apr 12, 2023	Anomaly DetectionVideo Anomaly Detection	—Unverified	0
Rail Detection: An Efficient Row-based Network and A New Benchmark	Apr 12, 2023	Anomaly DetectionLane Detection	CodeCode Available	1
Contrastive-Regularized U-Net for Video Anomaly Detection	Apr 11, 2023	Anomaly DetectionAnomaly Detection In Surveillance Videos	—Unverified	0
Video Event Restoration Based on Keyframes for Video Anomaly Detection	Apr 11, 2023	Anomaly DetectionVideo Anomaly Detection	—Unverified	0
Decoupling anomaly discrimination and representation learning: self-supervised learning for anomaly detection on attributed graph	Apr 11, 2023	Anomaly DetectionRepresentation Learning	—Unverified	0
AGAD: Adversarial Generative Anomaly Detection	Apr 9, 2023	Anomaly DetectionDiversity	—Unverified	0
KeyDetect --Detection of anomalies and user based on Keystroke Dynamics	Apr 8, 2023	Anomaly DetectionMulti-class Classification	—Unverified	0
Anomalous Sound Detection using Audio Representation with Machine ID based Contrastive Learning Pretraining	Apr 7, 2023	Anomaly DetectionContrastive Learning	—Unverified	0
Toward Unsupervised 3D Point Cloud Anomaly Detection using Variational Autoencoder	Apr 7, 2023	Anomaly DetectionUnsupervised Anomaly Detection	CodeCode Available	1
What makes a good data augmentation for few-shot unsupervised image anomaly detection?	Apr 6, 2023	Anomaly DetectionData Augmentation	—Unverified	0
From Explanation to Action: An End-to-End Human-in-the-loop Framework for Anomaly Reasoning and Management	Apr 6, 2023	Anomaly DetectionManagement	—Unverified	0
Adaptable and Interpretable Framework for Novelty Detection in Real-Time IoT Systems	Apr 6, 2023	Anomaly DetectionNovelty Detection	—Unverified	0
Anomaly Detection via Gumbel Noise Score Matching	Apr 6, 2023	Anomaly DetectionSegmentation	—Unverified	0
Zero-shot domain adaptation of anomalous samples for semi-supervised anomaly detection	Apr 5, 2023	Anomaly DetectionDecoder	—Unverified	0
Industrial Anomaly Detection with Domain Shift: A Real-world Dataset and Masked Multi-scale Reconstruction	Apr 5, 2023	Anomaly DetectionDiversity	CodeCode Available	1
PAC-Based Formal Verification for Out-of-Distribution Data Detection	Apr 4, 2023	Anomaly DetectionAutonomous Vehicles	—Unverified	0
OneShotSTL: One-Shot Seasonal-Trend Decomposition For Online Time Series Anomaly Detection And Forecasting	Apr 4, 2023	Anomaly DetectionTime Series	CodeCode Available	1
DynamoPMU: A Physics Informed Anomaly Detection and Prediction Methodology using non-linear dynamics from μPMU Measurement Data	Mar 31, 2023	Anomaly DetectionEvent Detection	—Unverified	0
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
Unsupervised crack detection on complex stone masonry surfaces	Mar 31, 2023	Anomaly DetectionUnsupervised Anomaly Detection	CodeCode Available	0
Time-series Anomaly Detection based on Difference Subspace between Signal Subspaces	Mar 31, 2023	Anomaly DetectionTime Series	—Unverified	0
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
Visual Anomaly Detection via Dual-Attention Transformer and Discriminative Flow	Mar 31, 2023	Anomaly Detection	CodeCode Available	1
ISSTAD: Incremental Self-Supervised Learning Based on Transformer for Anomaly Detection and Localization	Mar 30, 2023	Anomaly DetectionAnomaly Localization	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	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