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 1501–1550 of 4856 papers

TitleStatusHype
Steam Turbine Anomaly Detection: An Unsupervised Learning Approach Using Enhanced Long Short-Term Memory Variational Autoencoder—0
Outliers resistant image classification by anomaly detection—0
Take Package as Language: Anomaly Detection Using TransformerCode0
A Hybrid Artificial Intelligence System for Automated EEG Background Analysis and Report GenerationCode0
Exploring Zero-Shot Anomaly Detection with CLIP in Medical Imaging: Are We There Yet?—0
Deep Autoencoders for Unsupervised Anomaly Detection in Wildfire Prediction—0
Adaptive Deviation Learning for Visual Anomaly Detection with Data ContaminationCode0
A Fuzzy Reinforcement LSTM-based Long-term Prediction Model for Fault Conditions in Nuclear Power Plants—0
AstroM^3: A self-supervised multimodal model for astronomy—0
Weakly-Supervised Anomaly Detection in Surveillance Videos Based on Two-Stream I3D Convolution Network—0
Continuous GNN-based Anomaly Detection on Edge using Efficient Adaptive Knowledge Graph Learning—0
Anomaly Detection in Large-Scale Cloud Systems: An Industry Case and DatasetCode0
AI-Enhanced Inverter Fault and Anomaly Detection System for Distributed Energy Resources in Microgrids—0
Disentangling Tabular Data Towards Better One-Class Anomaly DetectionCode0
Spatially Regularized Graph Attention Autoencoder Framework for Detecting Rainfall Extremes—0
Contrastive Language Prompting to Ease False Positives in Medical Anomaly DetectionCode0
EAPCR: A Universal Feature Extractor for Scientific Data without Explicit Feature Relation Patterns—0
A neural-network based anomaly detection system and a safety protocol to protect vehicular network—0
Enhancing Predictive Maintenance in Mining Mobile Machinery through a TinyML-enabled Hierarchical Inference Network—0
Anomaly Detection in OKTA Logs using Autoencoders—0
ASTD Patterns for Integrated Continuous Anomaly Detection In Data Logs—0
Locally Adaptive One-Class Classifier Fusion with Dynamic p-Norm Constraints for Robust Anomaly Detection—0
Early Prediction of Natural Gas Pipeline Leaks Using the MKTCN Model—0
Machine learning-driven Anomaly Detection and Forecasting for Euclid Space Telescope Operations—0
Predictive Digital Twin for Condition Monitoring Using Thermal Imaging—0
From CNN to CNN + RNN: Adapting Visualization Techniques for Time-Series Anomaly Detection—0
Interpretable Measurement of CNN Deep Feature Density using Copula and the Generalized Characteristic Function—0
Synomaly Noise and Multi-Stage Diffusion: A Novel Approach for Unsupervised Anomaly Detection in Ultrasound ImagingCode0
Towards Resource-Efficient Federated Learning in Industrial IoT for Multivariate Time Series Analysis—0
Enhanced Real-Time Threat Detection in 5G Networks: A Self-Attention RNN Autoencoder Approach for Spectral Intrusion Analysis—0
See it, Think it, Sorted: Large Multimodal Models are Few-shot Time Series Anomaly Analyzers—0
Advancing Cyber-Attack Detection in Power Systems: A Comparative Study of Machine Learning and Graph Neural Network Approaches—0
High-Pass Graph Convolutional Network for Enhanced Anomaly Detection: A Novel ApproachCode0
HACD: Harnessing Attribute Semantics and Mesoscopic Structure for Community DetectionCode0
Anomalous Client Detection in Federated Learning—0
AAD-LLM: Adaptive Anomaly Detection Using Large Language Models—0
Towards Convexity in Anomaly Detection: A New Formulation of SSLM with Unique Optimal Solutions—0
AR-Pro: Counterfactual Explanations for Anomaly Repair with Formal PropertiesCode0
PV-VTT: A Privacy-Centric Dataset for Mission-Specific Anomaly Detection and Natural Language Interpretation—0
Directional anomaly detection—0
Partial Channel Dependence with Channel Masks for Time Series Foundation ModelsCode0
MIXAD: Memory-Induced Explainable Time Series Anomaly DetectionCode0
Adaptive NAD: Online and Self-adaptive Unsupervised Network Anomaly DetectorCode0
LogSHIELD: A Graph-based Real-time Anomaly Detection Framework using Frequency Analysis—0
Hypergraph-based multi-scale spatio-temporal graph convolution network for Time-Series anomaly detection—0
Sliced-Wasserstein-based Anomaly Detection and Open Dataset for Localized Critical Peak RebatesCode0
Unsupervised Multimodal Fusion of In-process Sensor Data for Advanced Manufacturing Process Monitoring—0
A Systematic Review of Machine Learning in Sports Betting: Techniques, Challenges, and Future Directions—0
Implementing Lightweight Intrusion Detection System on Resource Constrained DevicesCode0
ANOMIX: A Simple yet Effective Hard Negative Generation via Mixing for Graph Anomaly DetectionCode0
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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