DroneVehicle
Benchmarks
| Task Name | Dataset Name | SOTA Result | Trend | |
|---|---|---|---|---|
| Object Detection | DroneVehicle (test) | mAP5082.2 | 67 | |
| Object Detection | DroneVehicle | AP (car)98.5 | 44 | |
| Super-Resolution | DroneVehicle x8 2.0 (test) | PSNR27.05 | 34 | |
| Super-Resolution | DroneVehicle x4 2.0 (test) | PSNR31.76 | 34 | |
| Oriented Object Detection | DroneVehicle (test) | AP (Car)90.2 | 19 | |
| Vehicle Detection | DroneVehicle (test) | AP (car)90.08 | 15 | |
| Object Detection | DroneVehicle (Average) | mAP48.4 | 10 | |
| Object Detection | DroneVehicle Extreme Dark | mAP34 | 10 | |
| Object Detection | DroneVehicle Foggy | mAP59.9 | 10 | |
| Object Detection | DroneVehicle Dark | mAP51.4 | 10 | |
| Multi-modal Image Registration and Fusion | DroneVehicle | HD65.19 | 9 | |
| Semantic Segmentation | DroneVehicle | IoU65.21 | 6 | |
| Object Detection | DroneVehicle RGB-T | mAP5080.1 | 5 | |
| Multispectral Oriented Object Detection | DroneVehicle (test) | FPS21.7 | 4 | |
| Object Detection | DroneVehicle Night (natural split (~40%)) | mAP5076.8 | 2 | |
| Object Detection | DroneVehicle Day (natural split) | mAP@0.500.832 | 2 |
Showing 16 of 16 rows