Ji-Ming Yang

MF-YOLO: High-Resolution Weighted Feature Fusion with Global-Local Aggregation for Small-Object Detection in UAV Imagery

MF-YOLO improves small-object detection at the cost of substantially greater computation, and introduces a stride-4 P2 prediction scale, applies Global-to-Local Spatial Aggregation independently to C2–C5 before neck fusion, and connects P2–P5 through a 64-channel Bidirectional Feature Pyramid Network (BiFPN).