Anomaly Detection on SMD
99.95F1 ScoreFITS
Evaluation results
| Method | Links | ||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| FITS2023.07 | 99.95 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FITS2023.07 | 99.95 | 99.9 | 100 | — | 99.92 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FITS2025.01 | 99.95 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| SWIFT2025.01 | 99.92 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| ALoRa-Det2026.02 | 97 | 97 | 98 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TranADTraining=Complete training data2022.01 | 96.05 | 92.62 | 99.74 | 99.74 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MO-SAE without Multi-branch exit designStorage space ratio=0.45, Runtime (s)=3.92, Power Consumption ratio=0.492026.03 | 95 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| USADTraining=Complete training data2022.01 | 94.95 | 90.6 | 99.74 | 99.33 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DAGMMTraining=Complete training data2022.01 | 94.91 | 91.03 | 99.14 | 99.54 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DBR-AF2026.03 | 94.8 | — | — | — | 99.53 | — | — | 69.12 | 92.99 | 87.33 | 28.51 | 86.41 | 27.54 | — | — | — | — | — | — | — | — | — | |
| TranADTraining data percentage=20%2022.01 | 94.78 | — | — | 98.69 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| OmniAnomalyTraining=Complete training data2022.01 | 94.01 | 88.81 | 99.85 | 99.46 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CAE-MTraining=Complete training data2022.01 | 93.67 | 90.82 | 96.71 | 97.83 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MEMTO2023.12 | 93.54 | 89.13 | 98.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| OmniAnomalyTraining data percentage=20%2022.01 | 93.52 | — | — | 98.59 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MAD-GANTraining data percentage=20%2022.01 | 93.18 | — | — | 86.35 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CAE-MTraining data percentage=20%2022.01 | 93.18 | — | — | 95.69 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Anomaly Transformer2023.07 | 92.33 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Anomaly2025.01 | 92.33 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MAAT2025.02 | 92.3 | — | — | — | 99.34 | — | — | 59.19 | 93.51 | 79.11 | 75.41 | 79.09 | 75.41 | — | — | — | — | — | — | — | — | — | |
| MAAT2025.02 | 92.3 | 89.03 | 95.82 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| USADTraining data percentage=20%2022.01 | 92.13 | — | — | 98.54 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MO-SAEStorage space ratio=0.47, Runtime (s)=3.49, Power Consumption ratio=0.372026.03 | 92 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MAD-GANTraining=Complete training data2022.01 | 91.5 | 99.91 | 84.4 | 99.33 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Pi-TransformerProtocol=Segment-detection, Evaluation=Averaged over five seeds2025.09 | 91.23 | 88.19 | 94.49 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Anomaly Transformer2023.12 | 91.2 | 87.96 | 94.68 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| LSTM-NDTTraining=Complete training data2022.01 | 90.42 | 97.36 | 84.4 | 96.71 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Anomaly Trans2025.02 | 90.33 | 88.47 | 92.28 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| AnomalyTransProtocol=Segment-detection, Evaluation=Averaged over five seeds2025.09 | 90.33 | 88.47 | 92.28 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FFTS2025.08 | 89.88 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DAGMMTraining data percentage=20%2022.01 | 89.86 | — | — | 98.45 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| ICAD-LLMMethod Category=Task-Specific2025.12 | 88.47 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FeDaL2025.08 | 88.46 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FedAvg2025.08 | 88.44 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| ICAD-LLMMethod Category=Universal2025.12 | 88.24 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| UniTS-STtraining=single-task separately trained from scratch2024.02 | 88.09 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| OmniAnomalyStorage space ratio=831.01, Runtime (s)=128.63, Power Consumption ratio=1093069.972026.03 | 88 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FusAD2025.12 | 87.9 | 88.6 | 86.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| HGTS-Former2025.08 | 87.54 | 89.28 | 85.87 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| AnomalyTrans2025.02 | 87.18 | — | — | — | 98.75 | — | — | 54.36 | 90.12 | 74.95 | 73 | 78.71 | 70.71 | — | — | — | — | — | — | — | — | — | |
| DCDetectorProtocol=Segment-detection, Evaluation=Averaged over five seeds2025.09 | 87.18 | 83.59 | 91.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| NPSR2026.02 | 87 | 77 | 98 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| D3R2026.02 | 87 | 77 | 99 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| OneFitsAllMethod Category=Task-Specific2025.12 | 86.92 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GPT2(6)layers=62023.02 | 86.89 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GPT4TS2025.02 | 86.89 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GPT4TS2025.08 | 86.89 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MTAD-GATTraining=Complete training data2022.01 | 86.83 | 82.1 | 92.15 | 99.21 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GPT4TS2025.12 | 86.8 | 89.8 | 84.9 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| InterFusion2023.12 | 86.22 | 87.02 | 85.43 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| InterFusionProtocol=Segment-detection, Evaluation=Averaged over five seeds2025.09 | 86.22 | 87.02 | 85.43 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TimesNetMethod Category=Task-Specific2025.12 | 85.94 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TimesNet2023.07 | 85.81 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TimesNet2025.01 | 85.81 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TimesNet (R)Year=20232024.06 | 85.81 | 88.66 | 83.14 | — | — | 86.34 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| ModernTCNYear=20242024.06 | 85.81 | 87.86 | 83.85 | — | — | 86.62 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TimesNetconfig=R2026.03 | 85.81 | 88.66 | 83.14 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| ModernTCN2026.03 | 85.81 | 87.86 | 83.85 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MTCN2025.08 | 85.81 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TimesNet2025.08 | 85.81 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TimesNet2025.12 | 85.8 | 88.6 | 83.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| ModernTCN2025.12 | 85.8 | 87.8 | 83.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TVNet2025.12 | 85.7 | 88 | 83.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Anomaly TransformerMethod Category=Task-Specific2025.12 | 85.68 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Anomaly TransformerYear=20212026.02 | 85.49 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Anomaly Transformercriterion=reconstruction error2023.02 | 85.49 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Anomaly*Year=20212024.06 | 85.49 | 88.91 | 82.23 | — | — | 80.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Anomaly*Publication Year=20222025.08 | 85.49 | 88.91 | 82.23 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Anomaly*2026.03 | 85.49 | 88.91 | 82.23 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Anomaly2025.08 | 85.49 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GTM2025.02 | 85.47 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| ChimeraYear=ours2024.06 | 85.46 | 87.74 | 83.29 | — | — | 86.69 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Chimera2026.03 | 85.46 | 87.74 | 83.29 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| AnomalyTrans2025.12 | 85.4 | 88.9 | 82.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| OmniAnomaly2023.12 | 85.22 | 83.68 | 86.82 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Omni Anomaly2023.07 | 85.22 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| OmniAnomaly2025.02 | 85.22 | 83.68 | 88.52 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Omni2025.01 | 85.22 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| OmniAnomalyProtocol=Segment-detection, Evaluation=Averaged over five seeds2025.09 | 85.22 | 83.68 | 86.82 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TimesNet (I)Year=20232024.06 | 85.12 | 87.76 | 82.63 | — | — | 85.49 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TimesNetconfig=I2026.03 | 85.12 | 87.76 | 82.63 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Auto.training=single-task separately trained from scratch2024.02 | 85.11 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| AutoformerYear=20212026.02 | 85.11 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Autoformer2023.02 | 85.11 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| AutoformerYear=20212024.06 | 85.11 | 88.06 | 82.35 | — | — | 84.26 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Autoformer2026.03 | 85.11 | 88.06 | 82.35 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Autoformer2025.02 | 85.11 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Autoformer_suffix=true2025.08 | 85.11 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| MAS4TS2026.02 | 85.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| Autoformer2025.12 | 85.1 | 88 | 82.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FEDtraining=single-task separately trained from scratch2024.02 | 85.08 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FEDformer2023.02 | 85.08 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FEDformerYear=20222024.06 | 85.08 | 87.95 | 82.39 | — | — | 84.97 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FEDformer2026.03 | 85.08 | 87.95 | 82.39 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FEDformer2025.02 | 85.08 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FEDformer_suffix=true2025.08 | 85.08 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| TCNtraining=single-task separately trained from scratch2024.02 | 85.03 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| THOC2025.02 | 85.02 | 79.65 | 91.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FEDformer2025.12 | 85 | 87.9 | 82.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| THOC2023.12 | 84.99 | 79.76 | 90.95 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |