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 24512500 of 4856 papers

TitleStatusHype
Evaluation of Color Anomaly Detection in Multispectral Images For Synthetic Aperture Sensing0
Quantum-probabilistic Hamiltonian learning for generative modelling & anomaly detectionCode0
Privacy-Preserving Anomaly Detection in Stochastic Dynamical Systems: Synthesis of Optimal Gaussian Mechanisms0
Degradation Prediction of Semiconductor Lasers using Conditional Variational Autoencoder0
A Comprehensive Survey of Regression Based Loss Functions for Time Series ForecastingCode1
A Machine Learning-based Framework for Predictive Maintenance of Semiconductor Laser for Optical Communication0
Deep learning for structural health monitoring: An application to heritage structures0
Discussion of Features for Acoustic Anomaly Detection under Industrial Disturbing Noise in an End-of-Line Test of Geared Motors0
Exploiting Spatial-temporal Correlations for Video Anomaly Detection0
DyAnNet: A Scene Dynamicity Guided Self-Trained Video Anomaly Detection Network0
Generation of Anonymous Chest Radiographs Using Latent Diffusion Models for Training Thoracic Abnormality Classification Systems0
Unsupervised Anomaly Detection of Paranasal Anomalies in the Maxillary Sinus0
HFN: Heterogeneous Feature Network for Multivariate Time Series Anomaly Detection0
Semi-Supervised Domain Adaptation for Cross-Survey Galaxy Morphology Classification and Anomaly DetectionCode1
Siamese Transition Masked Autoencoders as Uniform Unsupervised Visual Anomaly Detector0
MedSegDiff: Medical Image Segmentation with Diffusion Probabilistic ModelCode3
Tree Detection and Diameter Estimation Based on Deep LearningCode1
Teacher-Student Network for 3D Point Cloud Anomaly Detection with Few Normal Samples0
SoK: Modeling Explainability in Security Analytics for Interpretability, Trustworthiness, and Usability0
Classical ensemble of Quantum-classical ML algorithms for Phishing detection in Ethereum transaction networksCode0
Joint Sub-component Level Segmentation and Classification for Anomaly Detection within Dual-Energy X-Ray Security Imagery0
Anomaly Detection in Additive Manufacturing Processes using Supervised Classification with Imbalanced Sensor Data based on Generative Adversarial Network0
Learning to Detect Interesting Anomalies0
Deep Learning-Based Anomaly Detection in Synthetic Aperture Radar Imaging0
Spatio-temporal predictive tasks for abnormal event detection in videos0
Data-Driven Thermal Anomaly Detection in Large Battery Packs0
Masked Transformer for image Anomaly Localization0
A Hierarchical Approach to Conditional Random Fields for System Anomaly Detection0
AltUB: Alternating Training Method to Update Base Distribution of Normalizing Flow for Anomaly Detection0
Reconstruction from edge image combined with color and gradient difference for industrial surface anomaly detectionCode1
AD-DMKDE: Anomaly Detection through Density Matrices and Fourier FeaturesCode0
Detecting fake accounts through Generative Adversarial Network in online social media0
Deep Crowd Anomaly Detection: State-of-the-Art, Challenges, and Future Research Directions0
InForecaster: Forecasting Influenza Hemagglutinin Mutations Through the Lens of Anomaly DetectionCode0
Unsupervised Anomaly Detection for Auditing Data and Impact of Categorical EncodingsCode1
Bridging Machine Learning and Sciences: Opportunities and Challenges0
Self-supervised Sparse Representation for Video Anomaly DetectionCode1
Multi-Scale Patch-Based Representation Learning for Image Anomaly Detection and Segmentation0
Improving the Anomaly Detection in GPR Images by Fine-Tuning CNNs with Synthetic Data0
Frequency of Interest-based Noise Attenuation Method to Improve Anomaly Detection Performance0
Hierarchical Deep Learning with Generative Adversarial Network for Automatic Cardiac Diagnosis from ECG Signals0
Time and Cost-Efficient Bathymetric Mapping System using Sparse Point Cloud Generation and Automatic Object DetectionCode0
ADPS: Asymmetric Distillation Post-Segmentation for Image Anomaly Detection0
Anomaly Detection Requires Better RepresentationsCode1
Estimating the Contamination Factor's Distribution in Unsupervised Anomaly DetectionCode1
Graph Anomaly Detection with Unsupervised GNNsCode1
DAGAD: Data Augmentation for Graph Anomaly DetectionCode1
TFAD: A Decomposition Time Series Anomaly Detection Architecture with Time-Frequency AnalysisCode1
Spatio-Temporal-based Context Fusion for Video Anomaly Detection0
Towards Generating Adversarial Examples on Mixed-type Data0
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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