Object Detection on FLIR driving dataset (test)
53.97AP50Faster R-CNN
Evaluation results
| Method | Links | |
|---|---|---|
| Faster R-CNNModality=Thermal, Number of Trained Parameters=47M2020.03 | 53.97 | |
| YOLOv3-GNModality=Thermal, Number of Trained Parameters=3.2M2020.03 | 45.27 | |
| YOLOv3-NModality=Thermal, Number of Trained Parameters=62M2020.03 | 39.92 | |
| YOLOv3-NModality=Intensity, Number of Trained Parameters=62M2020.03 | 30.36 | |
| Cascade R-CNNModality=Intensity, Number of Trained Parameters=127M2020.03 | 27.1 | |
| Faster R-CNNModality=Intensity, Number of Trained Parameters=42M2020.03 | 23.82 | |
| SSDModality=Intensity, Number of Trained Parameters=36M2020.03 | 8 |