Table 3.

Comparison between Tran-CNN Net and other classification models.

Model Construction	Params (M)	FLOPs	Acc (%)
ResNet-152	60.2	11.8 M	95.2%
Deit-B	86.1	291.3	75.8%
Tran-CNN Net	92.6	301 M	96.7%