Table 1.

Network structure of the proposed CNN-based classification model

Layer	Configuration
Conv	7 × 7, 64, Stride = 2
Norm	Batch normalization
Pool	3 × 3 Max pooling, Stride = 2
RA-Conv_2	$\left[\begin{array}{c}3\times 3,64\\ 3\times 3,64\\ \end{array}\right]\times 2$
RA-Conv_3	$\left[\begin{array}{c}3\times 3,128\\ 3\times 3,128\\ \end{array}\right]\times 3$
RA-Conv_5	$\left[\begin{array}{c}3\times 3,256\\ 3\times 3,256\\ \end{array}\right]\times 5$
RA-Conv_2	$\left[\begin{array}{c}3\times 3,512\\ 3\times 3,512\\ \end{array}\right]\times 2$
Global average pooling (GAP)
Softmax