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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3951–4000 of 4856 papers

TitleStatusHype
Semi-supervised Deep Embedded Clustering with Anomaly Detection for Semantic Frame InductionCode0
Treating Dialogue Quality Evaluation as an Anomaly Detection Problem—0
Learning Compliance Adaptation in Contact-Rich Manipulation—0
The 4th AI City Challenge—0
Data-Driven Construction of Data Center Graph of Things for Anomaly Detection—0
Real-Time Anomaly Detection in Data Centers for Log-based Predictive Maintenance using an Evolving Fuzzy-Rule-Based Approach—0
A Survey on Incorporating Domain Knowledge into Deep Learning for Medical Image Analysis—0
Local Adaptation Improves Accuracy of Deep Learning Model for Automated X-Ray Thoracic Disease Detection : A Thai Study—0
How to find a unicorn: a novel model-free, unsupervised anomaly detection method for time seriesCode1
Real-time Detection of Clustered Events in Video-imaging data with Applications to Additive Manufacturing—0
A Kernel Two-sample Test for Dynamical Systems—0
Discovering Imperfectly Observable Adversarial Actions using Anomaly Detection—0
Sequential Anomaly Detection using Inverse Reinforcement Learning—0
Estimate the Implicit Likelihoods of GANs with Application to Anomaly DetectionCode0
Pseudo-healthy synthesis with pathology disentanglement and adversarial learningCode0
Network Anomaly Detection based on Tensor Decomposition—0
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 series—0
Exploring time-series motifs through DTW-SOM—0
Motion and Region Aware Adversarial Learning for Fall Detection with Thermal ImagingCode1
Old is Gold: Redefining the Adversarially Learned One-Class Classifier Training ParadigmCode1
Deep Neural Network for Respiratory Sound Classification in Wearable Devices Enabled by Patient Specific Model TuningCode0
Continual Learning for Anomaly Detection in Surveillance Videos—0
Contextual-Bandit Anomaly Detection for IoT Data in Distributed Hierarchical Edge Computing—0
Anomaly Detection in Trajectory Data with Normalizing Flows—0
Hybrid Attention Networks for Flow and Pressure Forecasting in Water Distribution Systems—0
A Survey of Single-Scene Video Anomaly Detection—0
Towards Anomaly Detection in Dashcam Videos—0
Anomaly Detection for Time Series Using VAE-LSTM Hybrid ModelCode1
Anomaly Detection with SDAE—0
A Characteristic Function for Shapley-Value-Based Attribution of Anomaly ScoresCode0
Comparison of Evolving Granular Classifiers applied to Anomaly Detection for Predictive Maintenance in Computing Centers—0
Autoencoders for Unsupervised Anomaly Segmentation in Brain MR Images: A Comparative StudyCode1
pAElla: Edge-AI based Real-Time Malware Detection in Data CentersCode0
Challenges in Vessel Behavior and Anomaly Detection: From Classical Machine Learning to Deep Learning—0
When, Where, and What? A New Dataset for Anomaly Detection in Driving VideosCode1
Moving Metric Detection and Alerting System at eBay—0
ReRe: A Lightweight Real-time Ready-to-Go Anomaly Detection Approach for Time Series—0
Any-Shot Sequential Anomaly Detection in Surveillance Videos—0
Anomaly Detection and Prototype Selection Using Polyhedron CurvatureCode0
Using Large-Scale Anomaly Detection on Code to Improve Kotlin CompilerCode0
Video Anomaly Detection for Smart Surveillance—0
Anomaly Detection in Univariate Time-series: A Survey on the State-of-the-Art—0
Learning Memory-guided Normality for Anomaly DetectionCode1
Introduction to Rare-Event Predictive Modeling for Inferential Statisticians -- A Hands-On Application in the Prediction of Breakthrough PatentsCode0
SiTGRU: Single-Tunnelled Gated Recurrent Unit for Abnormality Detection—0
One-Shot GAN Generated Fake Face Detection—0
ABBA: Adaptive Brownian bridge-based symbolic aggregation of time series—0
Viral Pneumonia Screening on Chest X-ray Images Using Confidence-Aware Anomaly DetectionCode1
FastDTW is approximate and Generally Slower than the Algorithm it ApproximatesCode1
Show:102550
← PrevPage 80 of 98Next →
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