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 701–750 of 4856 papers

TitleStatusHype
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
GlocalCLIP: Object-agnostic Global-Local Prompt Learning for Zero-shot Anomaly DetectionCode1
Predictive Digital Twin for Condition Monitoring Using Thermal Imaging—0
Machine learning-driven Anomaly Detection and Forecasting for Euclid Space Telescope Operations—0
Interpretable Measurement of CNN Deep Feature Density using Copula and the Generalized Characteristic Function—0
From CNN to CNN + RNN: Adapting Visualization Techniques for Time-Series Anomaly Detection—0
Peri-midFormer: Periodic Pyramid Transformer for Time Series AnalysisCode1
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
Advancing Cyber-Attack Detection in Power Systems: A Comparative Study of Machine Learning and Graph Neural Network Approaches—0
See it, Think it, Sorted: Large Multimodal Models are Few-shot Time Series Anomaly Analyzers—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
KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold NetworksCode1
Identify Backdoored Model in Federated Learning via Individual UnlearningCode1
AAD-LLM: Adaptive Anomaly Detection Using Large Language Models—0
AR-Pro: Counterfactual Explanations for Anomaly Repair with Formal PropertiesCode0
Towards Convexity in Anomaly Detection: A New Formulation of SSLM with Unique Optimal Solutions—0
Adaptive NAD: Online and Self-adaptive Unsupervised Network Anomaly DetectorCode0
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
Unsupervised Multimodal Fusion of In-process Sensor Data for Advanced Manufacturing Process Monitoring—0
Hypergraph-based multi-scale spatio-temporal graph convolution network for Time-Series anomaly detection—0
LogSHIELD: A Graph-based Real-time Anomaly Detection Framework using Frequency Analysis—0
Sliced-Wasserstein-based Anomaly Detection and Open Dataset for Localized Critical Peak RebatesCode0
A Survey on RGB, 3D, and Multimodal Approaches for Unsupervised Industrial Anomaly DetectionCode2
Implementing Lightweight Intrusion Detection System on Resource Constrained DevicesCode0
A Systematic Review of Machine Learning in Sports Betting: Techniques, Challenges, and Future Directions—0
Rethinking Reconstruction-based Graph-Level Anomaly Detection: Limitations and a Simple RemedyCode0
Causal Modeling in Multi-Context Systems: Distinguishing Multiple Context-Specific Causal Graphs which Account for Observational Support—0
SIGMA: Single Interpolated Generative Model for Anomalies—0
ANOMIX: A Simple yet Effective Hard Negative Generation via Mixing for Graph Anomaly DetectionCode0
Attention to Patterns is all you need for Insider threat detection—0
ResAD: A Simple Framework for Class Generalizable Anomaly DetectionCode2
Neuromorphic IoT Architecture for Efficient Water Management: A Smart Village Case Study—0
Detection of Emerging Infectious Diseases in Lung CT based on Spatial Anomaly Patterns—0
Temporal Convolution-based Hybrid Model Approach with Representation Learning for Real-Time Acoustic Anomaly Detection—0
Context-Aware Trajectory Anomaly Detection—0
Harnessing PU Learning for Enhanced Cloud-based DDoS Detection: A Comparative Analysis—0
Integrating Deep Feature Extraction and Hybrid ResNet-DenseNet Model for Multi-Class Abnormality Detection in Endoscopic Images—0
Exploring the Universe with SNAD: Anomaly Detection in Astronomy—0
Low-Latency Video Anonymization for Crowd Anomaly Detection: Privacy vs. PerformanceCode0
Graph Pre-Training Models Are Strong Anomaly Detectors—0
Multi-scale feature reconstruction network for industrial anomaly detectionCode1
Coniferest: a complete active anomaly detection frameworkCode1
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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
4UniNetDetection AUROC99.9—Unverified
5GLASSDetection AUROC99.9—Unverified
6PBASDetection AUROC99.8—Unverified
7HETMMDetection AUROC99.8—Unverified
8INP-Fomer ViT-L (model-unified multi-class)Detection AUROC99.8—Unverified
9DDADDetection AUROC99.8—Unverified
10EfficientAD (early stopping)Detection AUROC99.8—Unverified
#ModelMetricClaimedVerifiedStatus
1UniNetDetection AUROC99.8—Unverified
2GLADDetection AUROC99.5—Unverified
3UniNet(model-unified multi-class)Detection AUROC99.15—Unverified
4Dinomaly ViT-L (model-unified multi-class)Detection AUROC98.9—Unverified
5INP-Former ViT-B (model-unified multi-class)Detection AUROC98.9—Unverified
6DDADDetection AUROC98.9—Unverified
7GLASSDetection AUROC98.8—Unverified
8DiffusionADDetection AUROC98.8—Unverified
9TransFusionDetection AUROC98.7—Unverified
10HETMMDetection AUROC98.1—Unverified
#ModelMetricClaimedVerifiedStatus
1CSADAvg. Detection AUROC95.3—Unverified
2PSADAvg. Detection AUROC94.9—Unverified