SOTAVerified

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

Showing 37263750 of 4856 papers

TitleStatusHype
A Robust Likelihood Model for Novelty Detection0
Arrays of (locality-sensitive) Count Estimators (ACE): High-Speed Anomaly Detection via Cache Lookups0
Artificial Intelligence and Machine Learning in 5G Network Security: Opportunities, advantages, and future research trends0
Artificial intelligence for abnormality detection in high volume neuroimaging: a systematic review and meta-analysis0
A Scalable Algorithm for Anomaly Detection via Learning-Based Controlled Sensing0
A Scalable and Generalized Deep Learning Framework for Anomaly Detection in Surveillance Videos0
A Scalable Approach for Outlier Detection in Edge Streams Using Sketch-based Approximations0
A scalable framework for annotating photovoltaic cell defects in electroluminescence images0
A Scalable k-Medoids Clustering via Whale Optimization Algorithm0
ASE: Anomaly Scoring Based Ensemble Learning for Imbalanced Datasets0
A secondary immune response based on co-evolutive populations of agents for anomaly detection and characterization0
A Self-Commissioning Edge Computing Method for Data-Driven Anomaly Detection in Power Electronic Systems0
A Self-Reasoning Framework for Anomaly Detection Using Video-Level Labels0
A Self-Supervised Framework for Space Object Behaviour Characterisation0
A self-supervised text-vision framework for automated brain abnormality detection0
A Semi-Supervised Approach for Abnormal Event Prediction on Large Operational Network Time-Series Data0
A Semi-Supervised Learning Method for the Identification of Bad Exposures in Large Imaging Surveys0
A Distance-based Anomaly Detection Framework for Deep Reinforcement Learning0
A Spatial Mapping Algorithm with Applications in Deep Learning-Based Structure Classification0
A specifically designed machine learning algorithm for GNSS position time series prediction and its applications in outlier and anomaly detection and earthquake prediction0
A spectral-spatial fusion anomaly detection method for hyperspectral imagery0
Assessing Cyclostationary Malware Detection via Feature Selection and Classification0
Assessing workflow impact and clinical utility of AI-assisted brain aneurysm detection: a multi-reader study0
AssistPDA: An Online Video Surveillance Assistant for Video Anomaly Prediction, Detection, and Analysis0
A Stacked Autoencoder Neural Network based Automated Feature Extraction Method for Anomaly detection in On-line Condition Monitoring0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CPR-faster(TensorRT)FPS1,016Unverified
2CPR-fast(TensorRT)FPS362Unverified
3CPR(TensorRT)FPS130Unverified
4GLASSDetection AUROC99.9Unverified
5UniNetDetection AUROC99.9Unverified
6HETMMDetection AUROC99.8Unverified
7INP-Fomer ViT-L (model-unified multi-class)Detection AUROC99.8Unverified
8EfficientAD (early stopping)Detection AUROC99.8Unverified
9DDADDetection AUROC99.8Unverified
10PBASDetection AUROC99.8Unverified
#ModelMetricClaimedVerifiedStatus
1UniNetDetection AUROC99.8Unverified
2GLADDetection AUROC99.5Unverified
3UniNet(model-unified multi-class)Detection AUROC99.15Unverified
4INP-Former ViT-B (model-unified multi-class)Detection AUROC98.9Unverified
5DDADDetection AUROC98.9Unverified
6Dinomaly ViT-L (model-unified multi-class)Detection AUROC98.9Unverified
7DiffusionADDetection AUROC98.8Unverified
8GLASSDetection AUROC98.8Unverified
9TransFusionDetection AUROC98.7Unverified
10HETMMDetection AUROC98.1Unverified
#ModelMetricClaimedVerifiedStatus
1CSADAvg. Detection AUROC95.3Unverified
2PSADAvg. Detection AUROC94.9Unverified