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 46514700 of 4856 papers

TitleStatusHype
AURSAD: Universal Robot Screwdriving Anomaly Detection DatasetCode0
Partial Channel Dependence with Channel Masks for Time Series Foundation ModelsCode0
Particle Graph Autoencoders and Differentiable, Learned Energy Mover's DistanceCode0
Partition-wise Graph Filtering: A Unified Perspective Through the Lens of Graph CoarseningCode0
PASTA: Neural Architecture Search for Anomaly Detection in Multivariate Time SeriesCode0
PaSTe: Improving the Efficiency of Visual Anomaly Detection at the EdgeCode0
Explainable Differential Privacy-Hyperdimensional Computing for Balancing Privacy and Transparency in Additive Manufacturing MonitoringCode0
Patch distribution modeling framework adaptive cosine estimator (PaDiM-ACE) for anomaly detection and localization in synthetic aperture radar imageryCode0
Explainable Debugger for Black-box Machine Learning ModelsCode0
Crowdsourcing Fraud Detection over Heterogeneous Temporal MMMA GraphCode0
Explainable Anomaly Detection for Industrial Control System CybersecurityCode0
Online Detection of Anomalies in Temporal Knowledge Graphs with InterpretabilityCode0
Experiment-based detection of service disruption attacks in optical networks using data analytics and unsupervised learningCode0
Time-Window Group-Correlation Support vs. Individual Features: A Detection of Abnormal UsersCode0
Anomaly detection in the dynamics of web and social networksCode0
Weakly Supervised Anomaly Detection for Chest X-Ray ImageCode0
CPNet: Cross-Parallel Network for Efficient Anomaly DetectionCode0
Expected Similarity Estimation for Large-Scale Batch and Streaming Anomaly DetectionCode0
Tensor decomposition to Compress Convolutional Layers in Deep LearningCode0
Enhancing Interpretability and Generalizability in Extended Isolation ForestsCode0
Anomaly Detection Approach to Identify Early Cases in a Pandemic using Chest X-raysCode0
TiSAT: Time Series Anomaly TransformerCode0
TiWS-iForest: Isolation Forest in Weakly Supervised and Tiny ML scenariosCode0
Shell Theory: A Statistical Model of RealityCode0
Examining the Source of Defects from a Mechanical Perspective for 3D Anomaly DetectionCode0
Exact Optimization of Conformal Predictors via Incremental and Decremental LearningCode0
T-LoHo: A Bayesian Regularization Model for Structured Sparsity and Smoothness on GraphsCode0
Anomaly detection in radio galaxy data with trainable COSFIRE filtersCode0
Unraveling Anomalies in Time: Unsupervised Discovery and Isolation of Anomalous Behavior in Bio-regenerative Life Support System TelemetryCode0
A Deep Recurrent-Reinforcement Learning Method for Intelligent AutoScaling of Serverless FunctionsCode0
Identifying Performance Issues in Cloud Service Systems Based on Relational-Temporal FeaturesCode0
Performance Metric for Multiple Anomaly Score Distributions with Discrete Severity LevelsCode0
Performance of Machine Learning Classifiers for Anomaly Detection in Cyber Security ApplicationsCode0
Exact Matrix Seriation through Mathematical Optimization: Stress and Effectiveness-Based ModelsCode0
TopoAct: Visually Exploring the Shape of Activations in Deep LearningCode0
SIFT and SURF based feature extraction for the anomaly detectionCode0
Sifting through the haystack -- efficiently finding rare animal behaviors in large-scale datasetsCode0
Anomaly Detection in Networks via Score-Based Generative ModelsCode0
Anomaly Detection in Multivariate Non-stationary Time Series for Automatic DBMS DiagnosisCode0
Signal Novelty Detection as an Intrinsic Reward for RoboticsCode0
A Meta-Analysis of the Anomaly Detection ProblemCode0
Evidential Deep Learning for Uncertainty Quantification and Out-of-Distribution Detection in Jet Identification using Deep Neural NetworksCode0
Evaluation of pseudo-healthy image reconstruction for anomaly detection with deep generative models: Application to brain FDG PETCode0
Topological Pooling on GraphsCode0
A Uniform Framework for Anomaly Detection in Deep Neural NetworksCode0
Audio-Visual Dataset and Method for Anomaly Detection in Traffic VideosCode0
Video Anomaly Detection with Structured KeywordsCode0
Counterfactual Data Augmentation with Denoising Diffusion for Graph Anomaly DetectionCode0
Attend, Distill, Detect: Attention-aware Entropy Distillation for Anomaly DetectionCode0
PICASO: Permutation-Invariant Cascaded Attentional Set OperatorCode0
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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