Point Processes 벤치마크
Point Processes on Amazon MTPP
T-mAP
- 2024-06-20 — NHP: T-mAP 26.29
- 2024-08-23 — DeTPP: T-mAP 37.18
| Rank | Model | T-mAP | OTD | Accuracy (%) | MAE | Paper | Code | Year |
|---|---|---|---|---|---|---|---|---|
| 1 | DeTPP | 37.18 | 5.98 | – | – | DeTPP: Leveraging Object Detection for Robust Long-Horizon Event Prediction | ivan-chai/torch-linear-assignment · ivan-chai/hotpp-benchmark | 2024 |
| 2 | NHP | 26.29 | 9.02 | 11.06 | 0.449 | HoTPP Benchmark: Are We Good at the Long Horizon Events Forecasting? | ivan-chai/torch-linear-assignment · ivan-chai/hotpp-benchmark | 2024 |
| 3 | IFTPP | 22.56 | 6.52 | 35.73 | 0.242 | HoTPP Benchmark: Are We Good at the Long Horizon Events Forecasting? | ivan-chai/torch-linear-assignment · ivan-chai/hotpp-benchmark | 2024 |
| 4 | RMTPP | 20.06 | 6.57 | 35.76 | 0.294 | HoTPP Benchmark: Are We Good at the Long Horizon Events Forecasting? | ivan-chai/torch-linear-assignment · ivan-chai/hotpp-benchmark | 2024 |