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 40264050 of 4856 papers

TitleStatusHype
Pseudo-healthy synthesis with pathology disentanglement and adversarial learningCode0
Estimate the Implicit Likelihoods of GANs with Application to Anomaly DetectionCode0
DriftNet: Aggressive Driving Behavior Classification using 3D EfficientNet ArchitectureCode0
Outlier detection at the parcel-level in wheat and rapeseed crops using multispectral and SAR time series0
Exploring time-series motifs through DTW-SOM0
Deep Neural Network for Respiratory Sound Classification in Wearable Devices Enabled by Patient Specific Model TuningCode0
Contextual-Bandit Anomaly Detection for IoT Data in Distributed Hierarchical Edge Computing0
Continual Learning for Anomaly Detection in Surveillance Videos0
Hybrid Attention Networks for Flow and Pressure Forecasting in Water Distribution Systems0
A Survey of Single-Scene Video Anomaly Detection0
Anomaly Detection in Trajectory Data with Normalizing Flows0
Towards Anomaly Detection in Dashcam Videos0
A Characteristic Function for Shapley-Value-Based Attribution of Anomaly ScoresCode0
Anomaly Detection with SDAE0
Comparison of Evolving Granular Classifiers applied to Anomaly Detection for Predictive Maintenance in Computing Centers0
pAElla: Edge-AI based Real-Time Malware Detection in Data CentersCode0
Challenges in Vessel Behavior and Anomaly Detection: From Classical Machine Learning to Deep Learning0
Moving Metric Detection and Alerting System at eBay0
ReRe: A Lightweight Real-time Ready-to-Go Anomaly Detection Approach for Time Series0
Any-Shot Sequential Anomaly Detection in Surveillance Videos0
Anomaly Detection and Prototype Selection Using Polyhedron CurvatureCode0
Using Large-Scale Anomaly Detection on Code to Improve Kotlin CompilerCode0
Video Anomaly Detection for Smart Surveillance0
Anomaly Detection in Univariate Time-series: A Survey on the State-of-the-Art0
Introduction to Rare-Event Predictive Modeling for Inferential Statisticians -- A Hands-On Application in the Prediction of Breakthrough PatentsCode0
Show:102550
← PrevPage 162 of 195Next →

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