Forest
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| 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 | |
| Swarm Tracking | Forest 2.5 m/s | ϑavg3.475 | 8 | |
| Swarm Tracking | Forest 1.0 m/s | Avg Angular Deviation3.732 | 8 | |
| Robotic Exploration | Forest Gazebo simulation (test) | Distance (m)205,892 | 5 | |
| Robotic Exploration | Forest Gazebo simulation | Distance (m)2,058 | 5 | |
| Autonomous UAV Flight | Medium Forest | Total Collisions1 | 4 | |
| Inspection Mission Planning | Forest Virtual Environment 1.0 | Distance (m)43 | 4 |
Showing 12 of 12 rows