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 11511175 of 4856 papers

TitleStatusHype
Anomaly Detection Using Normalizing Flow-Based Density Estimation and Synthetic Defect ClassificationCode0
Anomaly detection for the identification of volcanic unrest in satellite imagery0
When and How Does In-Distribution Label Help Out-of-Distribution Detection?Code0
Learning-Based Link Anomaly Detection in Continuous-Time Dynamic GraphsCode1
SmoothGNN: Smoothing-aware GNN for Unsupervised Node Anomaly Detection0
ARC: A Generalist Graph Anomaly Detector with In-Context LearningCode1
Hawk: Learning to Understand Open-World Video AnomaliesCode3
A Study on Unsupervised Anomaly Detection and Defect Localization using Generative Model in Ultrasonic Non-Destructive Testing0
KiNETGAN: Enabling Distributed Network Intrusion Detection through Knowledge-Infused Synthetic Data Generation0
Secure Hierarchical Federated Learning in Vehicular Networks Using Dynamic Client Selection and Anomaly Detection0
Acquiring Better Load Estimates by Combining Anomaly and Change Point Detection in Power Grid Time-series MeasurementsCode0
Qsco: A Quantum Scoring Module for Open-set Supervised Anomaly Detection0
UnitNorm: Rethinking Normalization for Transformers in Time Series0
Pattern-Based Time-Series Risk Scoring for Anomaly Detection and Alert Filtering -- A Predictive Maintenance Case Study0
DETECTA 2.0: Research into non-intrusive methodologies supported by Industry 4.0 enabling technologies for predictive and cyber-secure maintenance in SMEs0
Towards a General Time Series Anomaly Detector with Adaptive Bottlenecks and Dual Adversarial Decoders0
Anomalous Change Point Detection Using Probabilistic Predictive Coding0
Large Language Models can Deliver Accurate and Interpretable Time Series Anomaly Detection0
Applied Machine Learning to Anomaly Detection in Enterprise Purchase Processes0
Large language models can be zero-shot anomaly detectors for time series?Code2
AnomalyDINO: Boosting Patch-based Few-shot Anomaly Detection with DINOv2Code2
Dinomaly: The Less Is More Philosophy in Multi-Class Unsupervised Anomaly DetectionCode3
Incomplete Multimodal Industrial Anomaly Detection via Cross-Modal DistillationCode1
Detecting Gait Abnormalities in Foot-Floor Contacts During Walking Through Footstep-Induced Structural Vibrations0
LogRCA: Log-based Root Cause Analysis for Distributed Services0
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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