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 4001–4050 of 4856 papers

TitleStatusHype
Physics-Driven AI Correction in Laser Absorption Sensing Quantification—0
Physics-Informed Convolutional Autoencoder for Cyber Anomaly Detection in Power Distribution Grids—0
Physics-Informed Machine Learning for Data Anomaly Detection, Classification, Localization, and Mitigation: A Review, Challenges, and Path Forward—0
PIAD: Pose and Illumination agnostic Anomaly Detection—0
PiDAn: A Coherence Optimization Approach for Backdoor Attack Detection and Mitigation in Deep Neural Networks—0
PieClam: A Universal Graph Autoencoder Based on Overlapping Inclusive and Exclusive Communities—0
PIF: Anomaly detection via preference embedding—0
P-KDGAN: Progressive Knowledge Distillation with GANs for One-class Novelty Detection—0
Place-specific Background Modeling Using Recursive Autoencoders—0
Plug-and-Play Anomaly Detection with Expectation Maximization Filtering—0
Plug-and-Play CNN for Crowd Motion Analysis: An Application in Abnormal Event Detection—0
PNUNet: Anomaly Detection using Positive-and-Negative Noise based on Self-Training Procedure—0
PO3AD: Predicting Point Offsets toward Better 3D Point Cloud Anomaly Detection—0
POET: A Self-learning Framework for PROFINET Industrial Operations Behaviour—0
Point Cloud Video Anomaly Detection Based on Point Spatio-Temporal Auto-Encoder—0
Polyra Swarms: A Shape-Based Approach to Machine Learning—0
Population Anomaly Detection through Deep Gaussianization—0
Portraying the Need for Temporal Data in Flood Detection via Sentinel-1—0
Position: Untrained Machine Learning for Anomaly Detection—0
Positive-Unlabeled Node Classification with Structure-aware Graph Learning—0
Post-Hoc Calibrated Anomaly Detection—0
Postulating Exoplanetary Habitability via a Novel Anomaly Detection Method—0
Practical Anomaly Detection over Multivariate Monitoring Metrics for Online Services—0
Practical Applications of Advanced Cloud Services and Generative AI Systems in Medical Image Analysis—0
Practical Machine Learning for Cloud Intrusion Detection: Challenges and the Way Forward—0
PR-Attack: Coordinated Prompt-RAG Attacks on Retrieval-Augmented Generation in Large Language Models via Bilevel Optimization—0
Precision and Recall for Range-Based Anomaly Detection—0
(Predictable) Performance Bias in Unsupervised Anomaly Detection—0
Predicting BVD Re-emergence in Irish Cattle From Highly Imbalanced Herd-Level Data Using Machine Learning Algorithms—0
Predictive Analytics Using Smartphone Sensors for Depressive Episodes—0
Predictive Digital Twin for Condition Monitoring Using Thermal Imaging—0
Predictive Maintenance Model Based on Anomaly Detection in Induction Motors: A Machine Learning Approach Using Real-Time IoT Data—0
Predictive modeling and anomaly detection in large-scale web portals through the CAWAL framework—0
Preparing Weather Data for Real-Time Building Energy Simulation—0
PressureTransferNet: Human Attribute Guided Dynamic Ground Pressure Profile Transfer using 3D simulated Pressure Maps—0
Prevention of cyberattacks in WSN and packet drop by CI framework and information processing protocol using AI and Big Data—0
Prior Knowledge Guided Network for Video Anomaly Detection—0
Prior Normality Prompt Transformer for Multi-class Industrial Image Anomaly Detection—0
PRISM: Privacy Preserving Healthcare Internet of Things Security Management—0
Privacy-Preserving Anomaly Detection in Stochastic Dynamical Systems: Synthesis of Optimal Gaussian Mechanisms—0
Privacy-Preserving Federated Learning over Vertically and Horizontally Partitioned Data for Financial Anomaly Detection—0
Privacy-Preserving Hybrid Ensemble Model for Network Anomaly Detection: Balancing Security and Data Protection—0
Privacy-Preserving Video Anomaly Detection: A Survey—0
Privacy-Protecting Behaviours of Risk Detection in People with Dementia using Videos—0
Probabilistic Graphs for Sensor Data-driven Modelling of Power Systems at Scale—0
Probabilistic Robust Autoencoders for Outlier Detection—0
Probabilistic Sampling-Enhanced Temporal-Spatial GCN: A Scalable Framework for Transaction Anomaly Detection in Ethereum Networks—0
Leveraging Contaminated Datasets to Learn Clean-Data Distribution with Purified Generative Adversarial NetworksCode0
Are you sure it’s an artifact? Artifact detection and uncertainty quantification in histological imagesCode0
Exploring the Potential of Multi-Modal AI for Driving Hazard PredictionCode0
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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