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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2251–2300 of 4856 papers

TitleStatusHype
Is Your Anomaly Detector Ready for Change? Adapting AIOps Solutions to the Real WorldCode0
Few-shot Message-Enhanced Contrastive Learning for Graph Anomaly Detection—0
Weakly Supervised Anomaly Detection for Chest X-Ray ImageCode0
Approaching adverse event detection utilizing transformers on clinical time-series—0
Identifying Light-curve Signals with a Deep Learning Based Object Detection Algorithm. II. A General Light Curve Classification FrameworkCode0
An Improved Anomaly Detection Model for Automated Inspection of Power Line Insulators—0
VegaEdge: Edge AI Confluence Anomaly Detection for Real-Time Highway IoT-ApplicationsCode0
ADAMM: Anomaly Detection of Attributed Multi-graphs with Metadata: A Unified Neural Network ApproachCode0
KnowSafe: Combined Knowledge and Data Driven Hazard Mitigation in Artificial Pancreas Systems—0
Open-Vocabulary Video Anomaly Detection—0
Synchrophasor Data Anomaly Detection on Grid Edge by 5G Communication and Adjacent Compute—0
Dual-Branch Reconstruction Network for Industrial Anomaly Detection with RGB-D Data—0
DeepQC: A Deep Learning System for Automatic Quality Control of In-situ Soil Moisture Sensor Time Series Data—0
CL-Flow:Strengthening the Normalizing Flows by Contrastive Learning for Better Anomaly Detection—0
Open-Set Graph Anomaly Detection via Normal Structure Regularisation—0
VT-Former: An Exploratory Study on Vehicle Trajectory Prediction for Highway Surveillance through Graph Isomorphism and Transformer—0
GRAM: An Interpretable Approach for Graph Anomaly Detection using Gradient Attention Maps—0
k-Parameter Approach for False In-Season Anomaly Suppression in Daily Time Series Anomaly Detection—0
Ball Mill Fault Prediction Based on Deep Convolutional Auto-Encoding Network—0
Explained anomaly detection in text reviews: Can subjective scenarios be correctly evaluated?—0
Spatio-Temporal Anomaly Detection with Graph Networks for Data Quality Monitoring of the Hadron Calorimeter—0
Image-Pointcloud Fusion based Anomaly Detection using PD-REAL DatasetCode0
A Deep Learning Approach to Video Anomaly Detection using Convolutional Autoencoders—0
NEURO HAND: A weakly supervised Hierarchical Attention Network for interpretable neuroimaging abnormality Detection—0
Temporal Shift -- Multi-Objective Loss Function for Improved Anomaly Fall Detection—0
Sketching Multidimensional Time Series for Fast Discord Mining—0
AIOps-Driven Enhancement of Log Anomaly Detection in Unsupervised Scenarios—0
MTS-DVGAN: Anomaly Detection in Cyber-Physical Systems using a Dual Variational Generative Adversarial Network—0
Respiratory Anomaly Detection using Reflected Infrared Light-wave Signals—0
Model-driven Engineering for Machine Learning Components: A Systematic Literature Review—0
Architecture of Data Anomaly Detection-Enhanced Decentralized Expert System for Early-Stage Alzheimer's Disease Prediction—0
CLIP-AD: A Language-Guided Staged Dual-Path Model for Zero-shot Anomaly Detection—0
Few-shot time-series anomaly detection with unsupervised domain adaptation—0
Log-based Anomaly Detection of Enterprise Software: An Empirical Study—0
A Low-cost Strategic Monitoring Approach for Scalable and Interpretable Error Detection in Deep Neural Networks—0
Privacy-Preserving Federated Learning over Vertically and Horizontally Partitioned Data for Financial Anomaly Detection—0
Look At Me, No Replay! SurpriseNet: Anomaly Detection Inspired Class Incremental LearningCode0
MENTOR: Human Perception-Guided Pretraining for Increased Generalization—0
Energy-Based Models for Anomaly Detection: A Manifold Diffusion Recovery Approach—0
MEDAVET: Traffic Vehicle Anomaly Detection Mechanism based on spatial and temporal structures in vehicle traffic—0
Debunking Free Fusion Myth: Online Multi-view Anomaly Detection with Disentangled Product-of-Experts Modeling—0
Understanding Parameter Saliency via Extreme Value Theory—0
Detecting subtle cyberattacks on adaptive cruise control vehicles: A machine learning approach—0
OrionBench: Benchmarking Time Series Generative Models in the Service of the End-User—0
MIM-GAN-based Anomaly Detection for Multivariate Time Series DataCode0
GADY: Unsupervised Anomaly Detection on Dynamic Graphs—0
On Pixel-level Performance Assessment in Anomaly Detection—0
One or Two Things We know about Concept Drift -- A Survey on Monitoring Evolving Environments—0
Localizing Anomalies in Critical Infrastructure using Model-Based Drift ExplanationsCode0
ADoPT: LiDAR Spoofing Attack Detection Based on Point-Level Temporal Consistency—0
Show:102550
← PrevPage 46 of 98Next →
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