Time Series Anomaly Detection on TSB-AD-U
38F1 Score (Standard)GTM
Evaluation results
| Method | Links | |||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| GTM2025.02 | 38 | 33 | 71 | 36 | 78 | 86 | 71 | 36 | 91 | — | — | — | — | |
| MOMENTTraining=Fine-tuned2025.02 | 35 | 30 | 69 | 39 | 76 | 65 | 49 | 35 | 86 | — | — | — | — | |
| TimesFM2025.02 | 34 | 28 | 67 | 30 | 74 | 84 | 63 | 34 | 89 | — | — | — | — | |
| Chronos2025.02 | 32 | 26 | 66 | 27 | 73 | 83 | 61 | 33 | 88 | — | — | — | — | |
| Lag-Llama2025.02 | 30 | 25 | 65 | 27 | 72 | 77 | 59 | 31 | 88 | — | — | — | — | |
| TimesNet2025.02 | 24 | 18 | 61 | 26 | 72 | 67 | 47 | 21 | 86 | — | — | — | — | |
| FITS2025.02 | 23 | 17 | 61 | 26 | 73 | 65 | 42 | 20 | 86 | — | — | — | — | |
| AnomalyTransformer2025.02 | 12 | 8 | 50 | 12 | 56 | 53 | 34 | 14 | 77 | — | — | — | — | |
| VisAnomReasonerNumber of Parameters=7B, Model Category=VisAnomReasoner variant2026.05 | 0.6291 | — | — | — | — | — | — | — | 0.8558 | 0.7575 | 0.6091 | 0.9527 | 0.8151 | |
| VisAnomReasonerNumber of Parameters=3B, Model Category=VisAnomReasoner variant2026.05 | 0.4959 | — | — | — | — | — | — | — | 0.7836 | 0.7793 | 0.4046 | 0.9505 | 0.7169 | |
| Qwen2.5-VL-7BModel Category=Small VLM2026.05 | 0.4952 | — | — | — | — | — | — | — | 0.7436 | 0.6618 | 0.4885 | 0.759 | 0.7493 | |
| LLaMA-4-MaverickNumber of Parameters=17B, Model Category=General Large VLM2026.05 | 0.4889 | — | — | — | — | — | — | — | 0.7675 | 0.6335 | 0.4649 | 0.7607 | 0.7918 | |
| ChronosNumber of Parameters=120M, Model Category=Foundation Model2026.05 | 0.4723 | — | — | — | — | — | — | — | 0.7331 | 0.4718 | 0.5537 | 0.7436 | 0.7561 | |
| Idefics3-8BModel Category=Small VLM2026.05 | 0.3464 | — | — | — | — | — | — | — | 0.5303 | 0.4512 | 0.3511 | 0.5083 | 0.5902 | |
| TimesFMNumber of Parameters=200M, Model Category=Foundation Model2026.05 | 0.3219 | — | — | — | — | — | — | — | 0.6008 | 0.3232 | 0.4321 | 0.7109 | 0.5723 | |
| LLM-TSADBase Model=GPT-4o, Model Category=Specialized Large Model2026.05 | 0.2998 | — | — | — | — | — | — | — | 0.5369 | 0.3174 | 0.284 | 0.6669 | 0.5276 | |
| LLMADBase Model=GPT-4o, Model Category=Specialized Large Model2026.05 | 0.2291 | — | — | — | — | — | — | — | 0.6416 | 0.3296 | 0.3754 | 0.675 | 0.7337 | |
| VLM4TSBase Model=GPT-4o, Model Category=Specialized Large Model2026.05 | 0.1984 | — | — | — | — | — | — | — | 0.5406 | 0.2978 | 0.401 | 0.7252 | 0.5138 | |
| Grok-4-FastNumber of Parameters=314B, Model Category=General Large VLM2026.05 | 0.1678 | — | — | — | — | — | — | — | 0.322 | 0.2795 | 0.1553 | 0.3243 | 0.3324 | |
| SmolVLM-7BModel Category=Small VLM2026.05 | 0.158 | — | — | — | — | — | — | — | 0.3575 | 0.3507 | 0.1248 | 0.3757 | 0.3584 | |
| IForestModel Category=Classical Anomaly Detector2026.05 | 0.1305 | — | — | — | — | — | — | — | 0.4267 | 0.1244 | 0.1789 | 0.5044 | 0.4151 | |
| Sub-PCAModel Category=Classical Anomaly Detector2026.05 | 0.1228 | — | — | — | — | — | — | — | 0.3499 | 0.118 | 0.1682 | 0.4822 | 0.3171 | |
| AnomLLMBase Model=GPT-4o, Model Category=Specialized Large Model2026.05 | 0.1163 | — | — | — | — | — | — | — | 0.0842 | 0.1297 | 0.1054 | 0.1305 | 0.0708 | |
| Matrix ProfileModel Category=Classical Anomaly Detector2026.05 | 0.0991 | — | — | — | — | — | — | — | 0.419 | 0.094 | 0.1584 | 0.449 | 0.4144 | |
| LLaVA-7BModel Category=Small VLM2026.05 | 0.0135 | — | — | — | — | — | — | — | 0.1015 | 0.1406 | 0.0072 | 0.1406 | 0.0816 |