notesum.ai
Published at November 18TSINR: Capturing Temporal Continuity via Implicit Neural Representations for Time Series Anomaly Detection
cs.AI
Released Date: November 18, 2024
Authors: Mengxuan Li1, Ke Liu1, Hongyang Chen2, Jiajun Bu1, Hongwei Wang3, Haishuai Wang1
Aff.: 1College of Computer Science, Zhejiang University; 2Center of Data Hub and Security, Zhejiang Lab; 3ZJU-UIUC Institute, Zhejiang University

| Dataset | Metric | Trans. | FED. | Anomaly. | Auto. | Pyra. | In. | ETS. | LightTS | Dlinear | TimesNet | FPT | TSINR |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| SMD | P | 78.32 | 78.45 | 78.72 | 78.49 | 78.49 | 78.37 | 86.63 | 87.04 | 87.27 | 87.98 | 87.27 | 83.09 |
| R | 65.24 | 65.08 | 65.43 | 65.13 | 65.53 | 65.23 | 75.35 | 78.39 | 80.99 | 81.54 | 81.08 | 80.46 | |
| F1 | 71.19 | 71.14 | 71.46 | 71.19 | 71.43 | 71.20 | 80.68 | 82.49 | 84.01 | 84.64 | 84.06 | 81.76 | |
| PSM | P | 90.75 | 99.99 | 98.76 | 99.99 | 99.62 | 99.68 | 98.17 | 98.29 | 98.66 | 98.51 | 98.55 | 99.21 |
| R | 54.68 | 81.89 | 83.25 | 78.99 | 88.46 | 83.30 | 91.36 | 93.60 | 94.70 | 96.27 | 95.79 | 89.37 | |
| F1 | 68.24 | 90.04 | 90.35 | 88.26 | 93.71 | 90.75 | 94.64 | 95.89 | 96.64 | 97.38 | 97.15 | 94.04 | |
| SWaT | P | 99.67 | 99.95 | 99.73 | 99.96 | 99.71 | 99.64 | 92.01 | 92.36 | 92.25 | 92.14 | 92.12 | 99.31 |
| R | 68.93 | 65.56 | 68.07 | 65.56 | 68.05 | 68.96 | 93.33 | 93.32 | 93.10 | 93.09 | 93.06 | 72.32 | |
| F1 | 81.50 | 79.19 | 80.91 | 79.19 | 80.90 | 81.51 | 92.67 | 92.84 | 92.68 | 92.61 | 92.59 | 83.69 | |
| MSL | P | 90.58 | 90.69 | 89.78 | 90.66 | 90.64 | 90.63 | 86.89 | 89.17 | 89.68 | 89.55 | 82.03 | 83.57 |
| R | 74.65 | 75.48 | 73.66 | 75.22 | 74.76 | 74.96 | 67.78 | 73.64 | 75.31 | 75.29 | 82.01 | 85.40 | |
| F1 | 81.85 | 82.39 | 80.93 | 82.22 | 81.94 | 82.06 | 76.16 | 80.66 | 81.87 | 81.80 | 82.02 | 84.47 | |
| SMAP | P | 90.87 | 89.98 | 90.14 | 90.72 | 89.51 | 90.66 | 90.75 | 90.02 | 89.89 | 89.92 | 90.91 | 91.67 |
| R | 61.44 | 55.89 | 54.00 | 62.58 | 54.59 | 61.69 | 54.68 | 53.90 | 54.01 | 56.56 | 61.01 | 76.42 | |
| F1 | 73.31 | 68.95 | 67.54 | 74.07 | 67.82 | 73.43 | 68.24 | 67.43 | 67.48 | 69.44 | 73.02 | 83.35 | |
| PTB-XL | P | 56.89 | 48.36 | 56.00 | 49.12 | 50.22 | 57.41 | 62.84 | 66.38 | 62.95 | 67.60 | 71.85 | 58.35 |
| R | 29.99 | 27.60 | 31.50 | 27.53 | 23.85 | 25.43 | 28.45 | 16.46 | 13.95 | 14.47 | 24.52 | 35.00 | |
| F1 | 39.28 | 35.14 | 40.32 | 35.28 | 32.34 | 35.25 | 39.17 | 26.38 | 22.84 | 23.84 | 36.57 | 43.75 | |
| SKAB | P | 87.56 | 86.88 | 91.83 | 87.51 | 89.55 | 88.67 | 85.38 | 83.83 | 86.01 | 85.65 | 86.18 | 89.98 |
| R | 86.72 | 77.71 | 95.04 | 91.10 | 97.27 | 97.27 | 100.00 | 82.01 | 100.00 | 100.00 | 99.21 | 98.65 | |
| F1 | 87.14 | 82.04 | 93.41 | 89.27 | 93.25 | 92.77 | 92.12 | 82.91 | 92.48 | 92.27 | 92.24 | 94.11 | |
| UCR | P | 41.13 | 32.96 | 44.79 | 42.82 | 42.12 | 43.97 | 40.12 | 37.70 | 34.55 | 33.11 | 41.00 | 67.29 |
| R | 33.61 | 25.73 | 34.83 | 33.97 | 35.13 | 35.16 | 29.85 | 29.01 | 29.06 | 29.18 | 32.51 | 62.35 | |
| F1 | 34.50 | 27.09 | 36.51 | 35.52 | 36.02 | 36.41 | 31.94 | 30.82 | 29.67 | 29.81 | 34.33 | 62.46 | |
| Average | P | 79.47 | 78.41 | 82.22 | 79.91 | 79.98 | 81.13 | 80.35 | 80.60 | 80.16 | 80.56 | 81.24 | 84.06 |
| R | 59.41 | 59.37 | 63.22 | 62.51 | 63.46 | 64.00 | 67.60 | 65.04 | 67.64 | 68.30 | 71.15 | 75.00 | |
| F1 | 67.13 | 67.00 | 70.18 | 69.38 | 69.68 | 70.42 | 71.95 | 69.93 | 70.96 | 71.47 | 74.00 | 78.45 |