SOTAVerified

Time Series Anomaly Detection

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 76–100 of 264 papers

TitleStatusHype
SimAD: A Simple Dissimilarity-based Approach for Time Series Anomaly DetectionCode1
RESTAD: REconstruction and Similarity based Transformer for time series Anomaly DetectionCode0
DeepHYDRA: Resource-Efficient Time-Series Anomaly Detection in Dynamically-Configured SystemsCode0
A Reliable Framework for Human-in-the-Loop Anomaly Detection in Time Series—0
Position: Quo Vadis, Unsupervised Time Series Anomaly Detection?Code1
Sub-Adjacent Transformer: Improving Time Series Anomaly Detection with Reconstruction Error from Sub-Adjacent NeighborhoodsCode0
Warped Time Series Anomaly Detection—0
DACAD: Domain Adaptation Contrastive Learning for Anomaly Detection in Multivariate Time SeriesCode1
Fault Detection in Mobile Networks Using Diffusion Models—0
TSA on AutoPilot: Self-tuning Self-supervised Time Series Anomaly DetectionCode0
From Chaos to Clarity: Time Series Anomaly Detection in Astronomical ObservationsCode0
Exploring the Influence of Dimensionality Reduction on Anomaly Detection Performance in Multivariate Time SeriesCode0
Towards efficient deep autoencoders for multivariate time series anomaly detection—0
Unsupervised Distance Metric Learning for Anomaly Detection Over Multivariate Time Series—0
Generative Adversarial Network with Soft-Dynamic Time Warping and Parallel Reconstruction for Energy Time Series Anomaly DetectionCode1
TimeSeriesBench: An Industrial-Grade Benchmark for Time Series Anomaly Detection ModelsCode2
Revisiting VAE for Unsupervised Time Series Anomaly Detection: A Frequency PerspectiveCode2
Understanding Time Series Anomaly State Detection through One-Class Classification—0
Large Language Model Guided Knowledge Distillation for Time Series Anomaly Detection—0
Edge Conditional Node Update Graph Neural Network for Multi-variate Time Series Anomaly Detection—0
DACR: Distribution-Augmented Contrastive Reconstruction for Time-Series Anomaly Detection—0
TreeMIL: A Multi-instance Learning Framework for Time Series Anomaly Detection with Inexact SupervisionCode1
PatchAD: A Lightweight Patch-based MLP-Mixer for Time Series Anomaly DetectionCode1
PUPAE: Intuitive and Actionable Explanations for Time Series Anomalies—0
Graph Spatiotemporal Process for Multivariate Time Series Anomaly Detection with Missing ValuesCode0
Show:102550
← PrevPage 4 of 11Next →
All datasetsUCR Anomaly ArchiveKPIMSLSMAPSMDSWaTWADIYahoo A1

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TimeVQVAE-ADaccuracy0.71—Unverified
2Matrix Profile STUMPYaccuracy0.51—Unverified
3MDIaccuracy0.47—Unverified
4Matrix Profile SCRIMPaccuracy0.42—Unverified
5RCFaccuracy0.39—Unverified
6IFaccuracy0.38—Unverified
7Convolutional AEaccuracy0.35—Unverified
8SR-CNNaccuracy0.3—Unverified
9USADaccuracy0.28—Unverified
10AEaccuracy0.24—Unverified
#ModelMetricClaimedVerifiedStatus
1CARLAAUPR0.3—Unverified
#ModelMetricClaimedVerifiedStatus
1CARLAAUPR0.5—Unverified
#ModelMetricClaimedVerifiedStatus
1CARLAAUPR0.45—Unverified
#ModelMetricClaimedVerifiedStatus
1CARLAAUPR0.51—Unverified
#ModelMetricClaimedVerifiedStatus
1CARLAAUPR0.68—Unverified
#ModelMetricClaimedVerifiedStatus
1CARLAAUPR0.13—Unverified
#ModelMetricClaimedVerifiedStatus
1CARLAAUPR0.65—Unverified