SOTAVerified

Time Series Anomaly Detection

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 1–25 of 264 papers

TitleStatusHype
mTSBench: Benchmarking Multivariate Time Series Anomaly Detection and Model Selection at ScaleCode0
Benchmarking Unsupervised Strategies for Anomaly Detection in Multivariate Time SeriesCode0
TAB: Unified Benchmarking of Time Series Anomaly Detection MethodsCode2
Cluster-Aware Causal Mixer for Online Anomaly Detection in Multivariate Time Series—0
Enhancing Network Anomaly Detection with Quantum GANs and Successive Data Injection for Multivariate Time Series—0
Anomaly Detection for Non-stationary Time Series using Recurrent Wavelet Probabilistic Neural Network—0
FreCT: Frequency-augmented Convolutional Transformer for Robust Time Series Anomaly Detection—0
CICADA: Cross-Domain Interpretable Coding for Anomaly Detection and Adaptation in Multivariate Time Series—0
Quantum Autoencoder for Multivariate Time Series Anomaly Detection—0
DConAD: A Differencing-based Contrastive Representation Learning Framework for Time Series Anomaly DetectionCode0
PatchTrAD: A Patch-Based Transformer focusing on Patch-Wise Reconstruction Error for Time Series Anomaly Detection—0
AMAD: AutoMasked Attention for Unsupervised Multivariate Time Series Anomaly Detection—0
iADCPS: Time Series Anomaly Detection for Evolving Cyber-physical Systems via Incremental Meta-learning—0
VISTA: Unsupervised 2D Temporal Dependency Representations for Time Series Anomaly Detection—0
Refining Time Series Anomaly Detectors using Large Language Models—0
RoCA: Robust Contrastive One-class Time Series Anomaly Detection with Contaminated DataCode0
Multivariate Time Series Anomaly Detection in Industry 5.0—0
KDSelector: A Knowledge-Enhanced and Data-Efficient Model Selector Learning Framework for Time Series Anomaly DetectionCode0
Federated Koopman-Reservoir Learning for Large-Scale Multivariate Time-Series Anomaly Detection—0
OIPR: Evaluation for Time-series Anomaly Detection Inspired by Operator InterestCode0
Can Multimodal LLMs Perform Time Series Anomaly Detection?Code1
dtaianomaly: A Python library for time series anomaly detectionCode2
VUS: Effective and Efficient Accuracy Measures for Time-Series Anomaly DetectionCode2
GenIAS: Generator for Instantiating Anomalies in time Series—0
MAAT: Mamba Adaptive Anomaly Transformer with association discrepancy for time seriesCode1
Show:102550
← PrevPage 1 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