Forest
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Robot Exploration | Mid-density Forest 0.15 TREES / m2 (test) | Exploration Time53.2 | 30 | |
| Regression | forest | NRMSE1.398 | 12 | |
| Anomaly Detection | Forest Real-world (full stream) | G-mean0.817 | 11 | |
| Anomaly Detection | Forest Real-world | Specificity98.9 | 11 | |
| Anomaly Detection | Forest | Average PAUC75.6 | 11 | |
| Streaming Class-Incremental Learning | Forest | EN Accuracy99.8 | 10 | |
| Multi-class Classification | Forest | Average G-mean0.914 | 10 | |
| Time Series Forecasting | Forest | Improvement Rate (%)45.3 | 8 | |
| Sample generation | forest | Standardized Energy Distance3.99 | 8 | |
| Swarm Tracking | Forest 2.5 m/s | ϑavg3.475 | 8 | |
| Swarm Tracking | Forest 1.0 m/s | Avg Angular Deviation3.732 | 8 | |
| Regression | Forest | Relative MSE Improvement18.98 | 6 | |
| Prediction Interval Coverage | Forest MCAR | Coverage96.9 | 6 | |
| Prediction Interval Coverage | Forest MAR | Coverage92.5 | 6 | |
| Dynamic Target Following | Forest 3.0 m/s target speed | Success Rate100 | 6 | |
| Dynamic Target Following | Forest 1.5 m/s target speed | Success Rate (SR)100 | 6 | |
| Classification | Forest (test) | Normalized Cumulative Loss53.94 | 5 | |
| Autonomous Exploration | Forest 7500m3 | Exploration Duration (seconds)177.2 | 5 | |
| Autonomous Exploration | Forest 4800m3 | Exploration Duration (seconds)106.14 | 5 | |
| Autonomous Exploration | Forest 2700m3 | Exploration Duration (seconds)57.24 | 5 | |
| Autonomous Exploration | Forest 1200m3 | Exploration Duration (s)43.87 | 5 | |
| Robotic Exploration | Forest Gazebo simulation (test) | Distance (m)205,892 | 5 | |
| Robotic Exploration | Forest Gazebo simulation | Distance (m)2,058 | 5 | |
| 3D Scene Rendering | FOREST scene | PSNR52.7 | 4 | |
| Depth Estimation | Forest RGB | AbsRel0.418 | 4 |
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