Time Series Anomaly Detection on TSB-AD-M
49.3VUS-PRAxonAD
Evaluation results
| Method | Links | |||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| AxonAD2026.03 | 49.3 | 85.9 | 43.7 | 82.5 | — | 69.8 | 60 | 47.1 | 86 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| VACECategory=Self-Supervised2026.05 | 48 | 78 | 43 | 76 | 46 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 46 | |
| PaAnoCategory=Self-Supervised2026.05 | 43 | 79 | 38 | 76 | 43 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 41 | |
| OmniAnomaly2026.03 | 42.4 | 77.7 | 37.2 | 74.4 | — | 62.7 | 52.8 | 43.2 | 84.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| WVAE2026.03 | 41.3 | 77.8 | 35.4 | 74.7 | — | 57.6 | 50.2 | 36.5 | 83.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| USAD2026.03 | 41.2 | 77.1 | 36.3 | 73.8 | — | 62.2 | 51.9 | 42.2 | 83.7 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| KAN-ADCategory=Neural Networks2026.05 | 41 | 75 | 38 | 73 | 42 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 41 | |
| VASP2026.03 | 40.1 | 80.9 | 33.9 | 76.2 | — | 66.9 | 52 | 40 | 84.9 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TSPulseEvaluation Protocol=Fine-Tuned2025.05 | 39 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SISVAE2026.03 | 37.2 | 78.6 | 32.3 | 75.9 | — | 55.1 | 47 | 36.9 | 82.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| xLSTMAD-RMethod Variant=Reconstruction, Loss Function=MSE2025.06 | 37 | 72 | 32 | 68 | 38 | 53 | 45 | 36 | 82 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| xLSTMAD-R (MSE)Category=Neural Networks2026.05 | 37 | 72 | 32 | 68 | 38 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 36 | |
| xLSTMAD-RMethod Variant=Reconstruction, Loss Function=SoftDTW2025.06 | 36 | 72 | 31 | 68 | 37 | 57 | 48 | 35 | 82 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TSPulseEvaluation Protocol=Zero-Shot2025.05 | 36 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MAVAE2026.03 | 35.1 | 72.8 | 29.9 | 69.7 | — | 56.8 | 46.3 | 32.5 | 81.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| xLSTMAD-FMethod Variant=Forecasting, Loss Function=MSE2025.06 | 35 | 77 | 35 | 74 | 40 | 85 | 70 | 42 | 89 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| xLSTMAD-F (MSE)Category=Neural Networks2026.05 | 35 | 77 | 35 | 74 | 40 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 42 | |
| VSVAE2026.03 | 34.2 | 73.4 | 29 | 70.9 | — | 59.6 | 48.7 | 37.4 | 84.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| xLSTMAD-FMethod Variant=Forecasting, Loss Function=SoftDTW2025.06 | 34 | 76 | 35 | 73 | 40 | 83 | 67 | 41 | 88 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CrossADCategory=Transformers2026.05 | 33 | 77 | 34 | 74 | 38 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 37 | |
| M2N22026.03 | 32.3 | 77.9 | 31.9 | 74 | — | 87.6 | 60.3 | 28.2 | 86 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CNN2025.06 | 31 | 76 | 32 | 73 | 37 | 78 | 65 | 37 | 87 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| OmniAnomaly2025.06 | 31 | 69 | 27 | 65 | 32 | 55 | 41 | 37 | 81 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| PCA2025.06 | 31 | 74 | 31 | 70 | 37 | 79 | 59 | 29 | 85 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| LSTMAD2025.06 | 31 | 74 | 31 | 70 | 36 | 79 | 64 | 38 | 87 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CNN2025.05 | 31 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| OmniAnomaly2025.05 | 31 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| PCA2025.05 | 31 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| LSTMAD2025.05 | 31 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DeepAnTCategory=Neural Networks2026.05 | 31 | 76 | 32 | 73 | 37 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 37 | |
| OmniAnomalyCategory=Neural Networks2026.05 | 31 | 69 | 27 | 65 | 32 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 37 | |
| DADACategory=Neural Networks2026.05 | 31 | 73 | 31 | 69 | 35 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 25 | |
| PCACategory=Traditional2026.05 | 31 | 74 | 31 | 70 | 37 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 29 | |
| TranAD2026.03 | 30.8 | 74.2 | 25.8 | 67.5 | — | 75.3 | 53 | 21.8 | 82.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TFTResidual2026.03 | 30.8 | 77.7 | 25 | 71 | — | 74.6 | 47.2 | 20.7 | 84.6 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| USAD2025.06 | 30 | 68 | 26 | 64 | 31 | 53 | 40 | 37 | 80 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| AutoEncoder2025.06 | 30 | 69 | 30 | 67 | 34 | 60 | 44 | 28 | 80 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| USAD2025.05 | 30 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| AutoEncoder2025.05 | 30 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| USADCategory=Neural Networks2026.05 | 30 | 68 | 26 | 64 | 31 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 37 | |
| CATCHCategory=Transformers2026.05 | 30 | 73 | 24 | 67 | 30 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 27 | |
| KMeansAD2025.06 | 29 | 73 | 25 | 69 | 31 | 68 | 49 | 33 | 82 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| KMeansAD2025.05 | 29 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TimesNet2026.03 | 27.1 | 68.6 | 20.1 | 61.8 | — | 75 | 42.7 | 17.6 | 82.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CBLOF2025.06 | 27 | 70 | 28 | 67 | 32 | 65 | 45 | 31 | 81 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MCD2025.06 | 27 | 69 | 27 | 65 | 33 | 46 | 33 | 20 | 76 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CBLOF2025.05 | 27 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MCD2025.05 | 27 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| OCSVM2025.06 | 26 | 67 | 23 | 61 | 28 | 48 | 41 | 30 | 80 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Donut2025.06 | 26 | 71 | 20 | 64 | 28 | 52 | 36 | 21 | 81 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| OCSVM2025.05 | 26 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Donut2025.05 | 26 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| IForest2026.03 | 25.3 | 75 | 21 | 70.4 | — | 65.5 | 40.3 | 24.3 | 80.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| LSTMAD2026.03 | 24.5 | 62.6 | 24.8 | 59.7 | — | 65.7 | 50.7 | 19.8 | 70.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| RobustPCA2025.06 | 24 | 61 | 24 | 58 | 29 | 60 | 42 | 33 | 81 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| RobustPCA2025.05 | 24 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FITS2025.06 | 21 | 66 | 15 | 58 | 22 | 72 | 32 | 16 | 81 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| OFA2025.06 | 21 | 63 | 15 | 55 | 21 | 72 | 41 | 17 | 83 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| EIF2025.06 | 21 | 71 | 19 | 67 | 26 | 74 | 44 | 26 | 81 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FITS2025.05 | 21 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| OFA2025.05 | 21 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| EIF2025.05 | 21 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| COPOD2025.06 | 20 | 69 | 20 | 65 | 27 | 72 | 41 | 24 | 80 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| IForest2025.06 | 20 | 69 | 19 | 66 | 26 | 68 | 41 | 24 | 80 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| COPOD2025.05 | 20 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| IForest2025.05 | 20 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| IForestCategory=Traditional2026.05 | 20 | 69 | 19 | 66 | 26 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 24 | |
| HBOS2025.06 | 19 | 67 | 16 | 63 | 24 | 67 | 40 | 24 | 80 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TimesNet2025.06 | 19 | 64 | 13 | 56 | 20 | 68 | 32 | 17 | 82 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| HBOS2025.05 | 19 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TimesNet2025.05 | 19 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TimesNetCategory=Neural Networks2026.05 | 19 | 64 | 13 | 56 | 20 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 17 | |
| KNN2025.06 | 18 | 59 | 14 | 51 | 19 | 69 | 45 | 21 | 79 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TranAD2025.06 | 18 | 65 | 14 | 59 | 21 | 68 | 40 | 21 | 79 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| KNN2025.05 | 18 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TranAD2025.05 | 18 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| LOF2025.06 | 14 | 60 | 10 | 53 | 15 | 57 | 32 | 14 | 76 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| LOF2025.05 | 14 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| AnomalyTransformer2025.06 | 12 | 57 | 7 | 52 | 12 | 53 | 33 | 14 | 74 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| AnomalyTransformer2025.05 | 12 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| AnomalyTransformerCategory=Transformers2026.05 | 12 | 57 | 7 | 52 | 12 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 14 | |
| RandomModel2025.06 | 10 | 59 | 5 | 50 | 9 | 71 | 10 | 10 | 69 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DCDetectorCategory=Transformers2026.05 | 9 | 56 | 5 | 50 | 10 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 10 | |
| AnomalyTransformerreference_method=AxonAD2026.03 | — | — | — | — | — | — | — | — | — | 3.9 | -0.3784 | -0.2998 | 1.65 | -0.4217 | 6.7 | -0.3325 | -0.3168 | 2.57 | -0.3678 | 20 | -0.1228 | -0.0718 | 3.64 | -0.1478 | — | |
| AutoEncoderreference_method=AxonAD2026.03 | — | — | — | — | — | — | — | — | — | 17.2 | -0.1987 | -0.1348 | 1.88 | -0.2422 | 18.9 | -0.1882 | -0.2248 | 2.51 | -0.2396 | 33.3 | -0.0596 | -0.0207 | 6.96 | -0.0831 | — | |
| CBLOFreference_method=AxonAD2026.03 | — | — | — | — | — | — | — | — | — | 16.1 | -0.2334 | -0.1601 | 1.49 | -0.2776 | 20 | -0.1692 | -0.2151 | 1.54 | -0.2177 | 36.1 | -0.0487 | -0.0081 | 8.71 | -0.0752 | — | |
| CNNreference_method=AxonAD2026.03 | — | — | — | — | — | — | — | — | — | 27.8 | -0.1408 | -0.0769 | 9.59 | -0.1805 | 21.7 | -0.1694 | -0.1844 | 3.38 | -0.219 | 48.3 | 0.0062 | -0.0002 | 0.676 | -0.0127 | — | |
| COPODreference_method=AxonAD2026.03 | — | — | — | — | — | — | — | — | — | 15 | -0.29 | -0.2262 | 3.03 | -0.336 | 18.3 | -0.2287 | -0.2535 | 6.43 | -0.2815 | 33.3 | -0.0609 | -0.0538 | 2.21 | -0.0853 | — | |
| Donutreference_method=AxonAD2026.03 | — | — | — | — | — | — | — | — | — | 10 | -0.2312 | -0.1677 | 2.85 | -0.27 | 10 | -0.2913 | -0.2873 | 7.64 | -0.3273 | 26.1 | -0.0913 | -0.0147 | 1.59 | -0.1181 | — | |
| EIFreference_method=AxonAD2026.03 | — | — | — | — | — | — | — | — | — | 16.1 | -0.2836 | -0.192 | 2.1 | -0.3275 | 18.9 | -0.2125 | -0.2535 | 3.91 | -0.264 | 36.7 | -0.0477 | -0.0163 | 1.59 | -0.0704 | — | |
| FITSreference_method=AxonAD2026.03 | — | — | — | — | — | — | — | — | — | 10 | -0.2265 | -0.1607 | 1.92 | -0.2615 | 8.3 | -0.2898 | -0.2566 | 9.49 | -0.326 | 30.6 | -0.0445 | -0.0226 | 1.56 | -0.0606 | — | |
| GDNreference_method=AxonAD2026.03 | — | — | — | — | — | — | — | — | — | 16.1 | -0.1611 | -0.0866 | 1.87 | -0.1936 | 11.1 | -0.2625 | -0.2455 | 1.79 | -0.2969 | 37.2 | -0.0145 | -0.0024 | 0.0621 | -0.0308 | — | |
| HBOSreference_method=AxonAD2026.03 | — | — | — | — | — | — | — | — | — | 12.8 | -0.303 | -0.2395 | 9.54 | -0.3484 | 18.9 | -0.2271 | -0.2438 | 7.61 | -0.2803 | 33.3 | -0.0637 | -0.06 | 3.8 | -0.0855 | — | |
| IForestreference_method=AxonAD2026.03 | — | — | — | — | — | — | — | — | — | 18.9 | -0.2399 | -0.2016 | 8.52 | -0.2862 | 21.7 | -0.2275 | -0.2268 | 9.05 | -0.2689 | 33.9 | -0.059 | -0.0399 | 4.68 | -0.0767 | — | |
| KMeansADreference_method=AxonAD2026.03 | — | — | — | — | — | — | — | — | — | 23.9 | -0.197 | -0.1592 | 2.18 | -0.2403 | 28.9 | -0.1449 | -0.1326 | 1.06 | -0.1866 | 42.2 | -0.0407 | -0.0138 | 1.06 | -0.0599 | — | |
| KNNreference_method=AxonAD2026.03 | — | — | — | — | — | — | — | — | — | 6.1 | -0.3168 | -0.2638 | 1.46 | -0.3565 | 16.7 | -0.266 | -0.2216 | 6.33 | -0.304 | 30 | -0.0695 | -0.0435 | 2.44 | -0.0909 | — | |
| LOFreference_method=AxonAD2026.03 | — | — | — | — | — | — | — | — | — | 6.7 | -0.3548 | -0.2799 | 2.79 | -0.3986 | 13.3 | -0.322 | -0.2865 | 1.54 | -0.3641 | 27.9 | -0.0953 | -0.0677 | 9.44 | -0.1179 | — | |
| LSTMADreference_method=AxonAD2026.03 | — | — | — | — | — | — | — | — | — | 14.4 | -0.2482 | -0.1504 | 8.26 | -0.2914 | 9.4 | -0.2726 | -0.2264 | 1.95 | -0.3066 | 34.4 | -0.1594 | -0.0079 | 6.26 | -0.2043 | — | |
| M2N2reference_method=AxonAD2026.03 | — | — | — | — | — | — | — | — | — | 22.8 | -0.1702 | -0.0953 | 5.15 | -0.2105 | 20.6 | -0.1889 | -0.2161 | 3.35 | -0.2381 | 43.9 | -0.0004 | -0.0011 | 0.376 | -0.0183 | — | |
| MAVAEreference_method=AxonAD2026.03 | — | — | — | — | — | — | — | — | — | 30 | -0.1425 | -0.0495 | 2.12 | -0.1839 | 22.8 | -0.1455 | -0.0838 | 1.2 | -0.1805 | 32.2 | -0.0484 | -0.0026 | 4.08 | -0.0648 | — |