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 28512900 of 4856 papers

TitleStatusHype
On the Connection of Generative Models and Discriminative Models for Anomaly Detection0
Anomaly Detection via Multi-Scale Contrasted Memory0
LEAN-DMKDE: Quantum Latent Density Estimation for Anomaly DetectionCode0
Cyber-Attack Event Analysis for EV Charging Stations0
Attacking Face Recognition with T-shirts: Database, Vulnerability Assessment and Detection0
Detecting Disengagement in Virtual Learning as an Anomaly using Temporal Convolutional Network Autoencoder0
A Comprehensive Survey of Transformers for Computer Vision0
Computer Vision on X-ray Data in Industrial Production and Security Applications: A Comprehensive Survey0
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 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
Generation of Anonymous Chest Radiographs Using Latent Diffusion Models for Training Thoracic Abnormality Classification Systems0
DyAnNet: A Scene Dynamicity Guided Self-Trained Video Anomaly Detection Network0
Exploiting Spatial-temporal Correlations for Video Anomaly Detection0
HFN: Heterogeneous Feature Network for Multivariate Time Series Anomaly Detection0
Unsupervised Anomaly Detection of Paranasal Anomalies in the Maxillary Sinus0
Siamese Transition Masked Autoencoders as Uniform Unsupervised Visual Anomaly Detector0
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
Learning to Detect Interesting Anomalies0
Anomaly Detection in Additive Manufacturing Processes using Supervised Classification with Imbalanced Sensor Data based on Generative Adversarial Network0
Deep Learning-Based Anomaly Detection in Synthetic Aperture Radar Imaging0
Masked Transformer for image Anomaly Localization0
Data-Driven Thermal Anomaly Detection in Large Battery Packs0
Spatio-temporal predictive tasks for abnormal event detection in videos0
A Hierarchical Approach to Conditional Random Fields for System Anomaly Detection0
AD-DMKDE: Anomaly Detection through Density Matrices and Fourier FeaturesCode0
AltUB: Alternating Training Method to Update Base Distribution of Normalizing Flow for Anomaly Detection0
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
Bridging Machine Learning and Sciences: Opportunities and Challenges0
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
ADPS: Asymmetric Distillation Post-Segmentation for Image Anomaly Detection0
Time and Cost-Efficient Bathymetric Mapping System using Sparse Point Cloud Generation and Automatic Object DetectionCode0
Hierarchical Deep Learning with Generative Adversarial Network for Automatic Cardiac Diagnosis from ECG Signals0
Spatio-Temporal-based Context Fusion for Video Anomaly Detection0
N-pad : Neighboring Pixel-based Industrial Anomaly Detection0
CAN-BERT do it? Controller Area Network Intrusion Detection System based on BERT Language Model0
Towards Generating Adversarial Examples on Mixed-type Data0
tegdet: An extensible Python Library for Anomaly Detection using Time-Evolving GraphsCode0
Autoencoder based Anomaly Detection and Explained Fault Localization in Industrial Cooling Systems0
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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