Table 3 AP analysis of the FFODL-VDCAI approach on two datasets.
From: Flying foxes optimization with reinforcement learning for vehicle detection in UAV imagery
Class | Dataset | |
|---|---|---|
Stanford | PSU | |
Faster RCNN | 19.30 | 71.00 |
YOLO-v3 | 13.50 | 91.90 |
YOLO-v4 | 17.50 | 94.30 |
FFODL-VDCAI | 20.12 | 95.43 |
