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Anomaly Detection On Ucr Anomaly Archive

评估指标

AUC ROC

评测结果

各个模型在此基准测试上的表现结果

Paper TitleRepository
KAN-AD0.8188 ±0.0041KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks
SubLOF0.8001KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks
KAN0.7489KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks
FCVAE0.7145KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks
Maximally Divergent Intervals (MDI)0.66 ± 0.0Is it worth it? Comparing six deep and classical methods for unsupervised anomaly detection in time series
SAND0.6550KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks
LSTMAD0.6432KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks
Graph Augmented Normalizing Flows (GANF)0.63 ±0.009Is it worth it? Comparing six deep and classical methods for unsupervised anomaly detection in time series
FITS0.5969KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks
Autoencoder (AE)0.58 ±0.01Is it worth it? Comparing six deep and classical methods for unsupervised anomaly detection in time series
OFA0.5699KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks
Robust Random Cut Forest (RRCF)0.56 ± 0.0019Is it worth it? Comparing six deep and classical methods for unsupervised anomaly detection in time series
Transformer Network for Anomaly Detection (TranAD)0.56 ±0.003Is it worth it? Comparing six deep and classical methods for unsupervised anomaly detection in time series
AT0.5458KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks
SRCNN0.5109KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks
MERLIN0.51 ± 0.0Is it worth it? Comparing six deep and classical methods for unsupervised anomaly detection in time series
TranAD0.4599KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks
TimesNet0.4536KAN-AD: Time Series Anomaly Detection with Kolmogorov-Arnold Networks
LSTM-AE-AER: Auto-Encoder with Regression for Time Series Anomaly Detection
ARIMA-AER: Auto-Encoder with Regression for Time Series Anomaly Detection
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Anomaly Detection On Ucr Anomaly Archive | SOTA | HyperAI超神经