Image Classification Based on Light Convolutional Neural Network Using Pulse Couple Neural Network

Table 8

ImageNet performance metrics comparison.

Model	Accuracy (top-1)	Accuracy (top-2)	Parameters	Time (ms) per inference step (CPU)	Time (ms) per inference step (GPU)
Xception [12]	0.7900	0.9450	22.9 M	109.4	8.1
VGG16 [12]	0.7130	0.9010	138.4 M	69.5	4.2
VGG19 [19]	0.7130	0.9000	143.7 M	84.8	4.4
ResNet152V2 [20]	0.7800	0.9420	60.4 M	107.5	6.6
MobileNetV2 [20]	0.7130	0.9010	3.5 M	25.9	3.8
NASNetLarge [21]	0.8250	0.9600	88.9 M	344.5	20.0
EfficientNetB7 [21]	0.8430	0.9700	66.7 M	1578.9	61.6
Proposed method	0.9199	0.9573	201019	25.1	3.0