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 1651–1700 of 4856 papers

TitleStatusHype
Enhanced anomaly detection in well log data through the application of ensemble GANsCode0
TSA on AutoPilot: Self-tuning Self-supervised Time Series Anomaly DetectionCode0
Adaptive Anomaly Detection in Network Flows with Low-Rank Tensor Decompositions and Deep UnrollingCode0
Enhancing Anomaly Detection Generalization through Knowledge Exposure: The Dual Effects of AugmentationCode0
Enabling Efficient and Flexible Interpretability of Data-driven Anomaly Detection in Industrial Processes with AcME-ADCode0
Semantic Novelty Detection in Natural Language DescriptionsCode0
ENCODE: Encoding NetFlows for Network Anomaly DetectionCode0
Anomaly detection in dynamic networksCode0
Enhancing Fairness in Unsupervised Graph Anomaly Detection through DisentanglementCode0
Efficient Model Monitoring for Quality Control in Cardiac Image SegmentationCode0
Efficient GAN-Based Anomaly DetectionCode0
Braced Fourier Continuation and Regression for Anomaly DetectionCode0
Polynomial Selection in Spectral Graph Neural Networks: An Error-Sum of Function Slices ApproachCode0
Bounding Boxes and Probabilistic Graphical Models: Video Anomaly Detection SimplifiedCode0
Effective and Efficient Representation Learning for Flight TrajectoriesCode0
Early Anomaly Detection in Time Series: A Hierarchical Approach for Predicting Critical Health EpisodesCode0
Adaptive Anomaly Detection in Chaotic Time Series with a Spatially Aware Echo State NetworkCode0
Digital Twin of the Radio Environment: A Novel Approach for Anomaly Detection in Wireless NetworksCode0
Early-Stage Anomaly Detection: A Study of Model Performance on Complete vs. Partial FlowsCode0
Effect of Deep Transfer and Multi task Learning on Sperm Abnormality DetectionCode0
Adaptive NAD: Online and Self-adaptive Unsupervised Network Anomaly DetectorCode0
(1 + )-class Classification: an Anomaly Detection Method for Highly Imbalanced or Incomplete Data SetsCode0
E-ABIN: an Explainable module for Anomaly detection in BIological NetworksCode0
DINAMO: Dynamic and INterpretable Anomaly MOnitoring for Large-Scale Particle Physics ExperimentsCode0
Boosting Anomaly Detection Using Unsupervised Diverse Test-Time AugmentationCode0
Simple statistical methods for unsupervised brain anomaly detection on MRI are competitive to deep learning methodsCode0
Simulation-Assisted Decorrelation for Resonant Anomaly DetectionCode0
Discovering Antagonists in Networks of Systems: Robot DeploymentCode0
Anomaly Detection in Cooperative Vehicle Perception Systems under Imperfect CommunicationCode0
A Hybrid Artificial Intelligence System for Automated EEG Background Analysis and Report GenerationCode0
Action Sequence Augmentation for Early Graph-based Anomaly DetectionCode0
Eloss in the way: A Sensitive Input Quality Metrics for Intelligent DrivingCode0
Equipping Computational Pathology Systems with Artifact Processing Pipelines: A Showcase for Computation and Performance Trade-offsCode0
Dual-Modality Vehicle Anomaly Detection via Bilateral Trajectory TracingCode0
Coupled-Space Attacks against Random-Walk-based Anomaly DetectionCode0
Blind Image Denoising and Inpainting Using Robust Hadamard AutoencodersCode0
BiPOCO: Bi-Directional Trajectory Prediction with Pose Constraints for Pedestrian Anomaly DetectionCode0
Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated LearningCode0
BINet: Multi-perspective Business Process Anomaly ClassificationCode0
DTOR: Decision Tree Outlier Regressor to explain anomaliesCode0
BinarizedAttack: Structural Poisoning Attacks to Graph-based Anomaly DetectionCode0
BiGSeT: Binary Mask-Guided Separation Training for DNN-based Hyperspectral Anomaly DetectionCode0
Distillation-based fabric anomaly detectionCode0
DSV: An Alignment Validation Loss for Self-supervised Outlier Model SelectionCode0
DriftNet: Aggressive Driving Behavior Classification using 3D EfficientNet ArchitectureCode0
β-GNN: A Robust Ensemble Approach Against Graph Structure PerturbationCode0
Domain-independent detection of known anomaliesCode0
Beyond the Benchmark: Detecting Diverse Anomalies in VideosCode0
Beyond Single-Modal Boundary: Cross-Modal Anomaly Detection through Visual Prototype and HarmonizationCode0
Domain Adaptive and Fine-grained Anomaly Detection for Single-cell Sequencing Data and BeyondCode0
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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