G-YOLOX: A Lightweight Network for Detecting Vehicle Types

Table 4

Comparison of models with the VOC2019 dataset.

Model	Parameters (M)	GFLOPs	Weight file (MB)	mAP50	mAP50_95
YOLOX_s	8.95	26.68	70.207	0.8885	0.7568
Ghost+YOLOX_s	4.52↓49.5%	13.63↓48.9%	46.387↓34%	0.8918↑0.0033	0.7611↑0.0043
G-YOLOX (ours)	2.95↓67.1%	7.00↓73.8%	41.878↓40.4%	0.8883↓0.0002	0.7402↓0.0166