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 2251–2275 of 4856 papers

Title	Date	Tasks	Status	Hype
Deep Anomaly Detection under Labeling Budget Constraints	Feb 15, 2023	Anomaly DetectionFraud Detection	CodeCode Available	0
Ultrafast single-channel machine vision based on neuro-inspired photonic computing	Feb 15, 2023	Anomaly Detection	—Unverified	0
Energy Transformer	Feb 14, 2023	Anomaly DetectionGraph Anomaly Detection	CodeCode Available	1
Self-Supervised Likelihood Estimation with Energy Guidance for Anomaly Segmentation in Urban Scenes	Feb 14, 2023	Anomaly DetectionAnomaly Segmentation	CodeCode Available	1
Lessons from the Development of an Anomaly Detection Interface on the Mars Perseverance Rover using the ISHMAP Framework	Feb 14, 2023	Anomaly DetectionGeochemistry	—Unverified	0
Heterogeneous Anomaly Detection for Software Systems via Semi-supervised Cross-modal Attention	Feb 14, 2023	Anomaly Detection	CodeCode Available	1
Explainable Anomaly Detection in Images and Videos: A Survey	Feb 13, 2023	Anomaly DetectionSurvey	CodeCode Available	1
Unsupervised Detection of Behavioural Drifts with Dynamic Clustering and Trajectory Analysis	Feb 13, 2023	Anomaly DetectionClustering	CodeCode Available	0
Deep Orthogonal Hypersphere Compression for Anomaly Detection	Feb 13, 2023	Anomaly Detection	CodeCode Available	1
Unsupervised Deep One-Class Classification with Adaptive Threshold based on Training Dynamics	Feb 13, 2023	Anomaly DetectionOne-Class Classification	—Unverified	0
Satellite Anomaly Detection Using Variance Based Genetic Ensemble of Neural Networks	Feb 10, 2023	Anomaly Detection	—Unverified	0
Dual Memory Units with Uncertainty Regulation for Weakly Supervised Video Anomaly Detection	Feb 10, 2023	Anomaly DetectionVideo Anomaly Detection	CodeCode Available	1
Industrial and Medical Anomaly Detection Through Cycle-Consistent Adversarial Networks	Feb 10, 2023	Anomaly Detection	CodeCode Available	0
Generalized Video Anomaly Event Detection: Systematic Taxonomy and Comparison of Deep Models	Feb 10, 2023	Anomaly DetectionEvent Detection	CodeCode Available	1
Weakly Supervised Anomaly Detection: A Survey	Feb 9, 2023	Anomaly DetectionSupervised Anomaly Detection	CodeCode Available	1
Understanding Policy and Technical Aspects of AI-Enabled Smart Video Surveillance to Address Public Safety	Feb 8, 2023	Action DetectionAnomaly Detection	—Unverified	0
Towards Meaningful Anomaly Detection: The Effect of Counterfactual Explanations on the Investigation of Anomalies in Multivariate Time Series	Feb 7, 2023	Anomaly Detectioncounterfactual	—Unverified	0
Unsupervised Deep Learning for IoT Time Series	Feb 7, 2023	Anomaly DetectionClustering	—Unverified	0
Perception Datasets for Anomaly Detection in Autonomous Driving: A Survey	Feb 6, 2023	Anomaly DetectionAutonomous Driving	CodeCode Available	1
Label Assisted Autoencoder for Anomaly Detection in Power Generation Plants	Feb 6, 2023	Anomaly ClassificationAnomaly Detection	—Unverified	0
Integrating Eye-Gaze Data into CXR DL Approaches: A Preliminary study	Feb 6, 2023	Anomaly Detection	—Unverified	0
An Asymmetric Loss with Anomaly Detection LSTM Framework for Power Consumption Prediction	Feb 5, 2023	Anomaly DetectionLoad Forecasting	—Unverified	0
Window Size Selection in Unsupervised Time Series Analytics: A Review and Benchmark	Feb 4, 2023	Anomaly DetectionChange Point Detection	CodeCode Available	1
Conformalized Semi-supervised Random Forest for Classification and Abnormality Detection	Feb 4, 2023	Anomaly DetectionMedical Diagnosis	CodeCode Available	0
Multivariate Time Series Anomaly Detection via Dynamic Graph Forecasting	Feb 4, 2023	Anomaly DetectionTime Series	—Unverified	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