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

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Showing 3751–3800 of 4856 papers

TitleStatusHype
MissionGNN: Hierarchical Multimodal GNN-based Weakly Supervised Video Anomaly Recognition with Mission-Specific Knowledge Graph Generation—0
mixed attention auto encoder for multi-class industrial anomaly detection—0
Mixture Proportion Estimation via Kernel Embedding of Distributions—0
MKF-ADS: Multi-Knowledge Fusion Based Self-supervised Anomaly Detection System for Control Area Network—0
MLAD: A Unified Model for Multi-system Log Anomaly Detection—0
ML-based Anomaly Detection in Optical Fiber Monitoring—0
MLOps with Microservices: A Case Study on the Maritime Domain—0
Model-Based Monitoring and State Estimation for Digital Twins: The Kalman Filter—0
Model-driven Engineering for Machine Learning Components: A Systematic Literature Review—0
Model Evaluation and Anomaly Detection in Temporal Complex Networks using Deep Learning Methods—0
Model-Free Unsupervised Anomaly Detection Framework in Multivariate Time-Series of Industrial Dynamical Systems—0
A Taxonomy and Review of Algorithms for Modeling and Predicting Human Driver Behavior—0
Modeling asset allocation strategies and a new portfolio performance score—0
Modeling Newswire Events using Neural Networks for Anomaly Detection—0
Modeling Representation of Videos for Anomaly Detection using Deep Learning: A Review—0
Model Selection for Anomaly Detection—0
Model Selection of Anomaly Detectors in the Absence of Labeled Validation Data—0
MoniLog: An Automated Log-Based Anomaly Detection System for Cloud Computing Infrastructures—0
Temporal Detection of Anomalies via Actor-Critic Based Controlled Sensing—0
Morse Neural Networks for Uncertainty Quantification—0
Motif-Consistent Counterfactuals with Adversarial Refinement for Graph-Level Anomaly Detection—0
MotifDisco: Motif Causal Discovery For Time Series Motifs—0
Motion-Aware Feature for Improved Video Anomaly Detection—0
movie2trailer: Unsupervised trailer generation using Anomaly detection—0
Moving Metric Detection and Alerting System at eBay—0
MST-GAT: A Multimodal Spatial-Temporal Graph Attention Network for Time Series Anomaly Detection—0
MTMMC: A Large-Scale Real-World Multi-Modal Camera Tracking Benchmark—0
MTS-DVGAN: Anomaly Detection in Cyber-Physical Systems using a Dual Variational Generative Adversarial Network—0
MultiADS: Defect-aware Supervision for Multi-type Anomaly Detection and Segmentation in Zero-Shot Learning—0
Multi-branch Neural Networks for Video Anomaly Detection in Adverse Lighting and Weather Conditions—0
Multicalibrated Partitions for Importance Weights—0
Multi-Class Anomaly Detection based on Regularized Discriminative Coupled hypersphere-based Feature Adaptation—0
Stack of discriminative autoencoders for multiclass anomaly detection in endoscopy images—0
Anomaly Detection for Scenario-based Insider Activities using CGAN Augmented Data—0
Multi-Class Multiple Instance Learning for Predicting Precursors to Aviation Safety Events—0
Multi-Contextual Predictions with Vision Transformer for Video Anomaly Detection—0
Multi-criteria Anomaly Detection using Pareto Depth Analysis—0
Multi-criteria Similarity-based Anomaly Detection using Pareto Depth Analysis—0
Multi-feature Reconstruction Network using Crossed-mask Restoration for Unsupervised Industrial Anomaly Detection—0
Multilevel Anomaly Detection for Mixed Data—0
Multi-Level Anomaly Detection on Time-Varying Graph Data—0
Multi-level conformal clustering: A distribution-free technique for clustering and anomaly detection—0
Multi-level hypothesis testing for populations of heterogeneous networks—0
Multi-level Memory-augmented Appearance-Motion Correspondence Framework for Video Anomaly Detection—0
Multilevel Saliency-Guided Self-Supervised Learning for Image Anomaly Detection—0
Multimedia Datasets for Anomaly Detection: A Review—0
Multimodal Anomaly Detection based on Deep Auto-Encoder for Object Slip Perception of Mobile Manipulation Robots—0
Multimodal Attention-Enhanced Feature Fusion-based Weekly Supervised Anomaly Violence Detection—0
Multimodal RAG-driven Anomaly Detection and Classification in Laser Powder Bed Fusion using Large Language Models—0
Multimodal Task Representation Memory Bank vs. Catastrophic Forgetting in Anomaly Detection—0
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All datasetsMVTec ADVisAMVTec LOCO ADOne-class CIFAR-10CUHK AvenueShanghaiTechFishyscapes L&FUCR Anomaly ArchiveMPDDBTADOne-class CIFAR-100UBnormal

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1CPR-faster(TensorRT)FPS1,016—Unverified
2CPR-fast(TensorRT)FPS362—Unverified
3CPR(TensorRT)FPS130—Unverified
4GLASSDetection AUROC99.9—Unverified
5UniNetDetection AUROC99.9—Unverified
6HETMMDetection AUROC99.8—Unverified
7INP-Fomer ViT-L (model-unified multi-class)Detection AUROC99.8—Unverified
8EfficientAD (early stopping)Detection AUROC99.8—Unverified
9DDADDetection AUROC99.8—Unverified
10PBASDetection AUROC99.8—Unverified
#ModelMetricClaimedVerifiedStatus
1UniNetDetection AUROC99.8—Unverified
2GLADDetection AUROC99.5—Unverified
3UniNet(model-unified multi-class)Detection AUROC99.15—Unverified
4INP-Former ViT-B (model-unified multi-class)Detection AUROC98.9—Unverified
5DDADDetection AUROC98.9—Unverified
6Dinomaly ViT-L (model-unified multi-class)Detection AUROC98.9—Unverified
7DiffusionADDetection AUROC98.8—Unverified
8GLASSDetection AUROC98.8—Unverified
9TransFusionDetection AUROC98.7—Unverified
10HETMMDetection AUROC98.1—Unverified
#ModelMetricClaimedVerifiedStatus
1CSADAvg. Detection AUROC95.3—Unverified
2PSADAvg. Detection AUROC94.9—Unverified