Table 2.

ReNet18 residual block structure.

Layer name	Output size	ResNet 18 kernel size, out channels, stride	ResNet 50 kernel size, out channels, stride
Conv1	112 ×112	7 ×7, 64, stride 2	7 ×7, 64, stride 2
Conv2_x	56 ×56	3 ×3 max pool, stride 2 $\left[\begin{array}{cc}3\times 3,& 64\\ 3\times 3,& 64\\ \end{array}\right]\times 2$	3 × 3 max pool, stride 2 $\left[\begin{array}{cc}1\times 1,& 64\\ 3\times 3,& 64\\ 1\times 1,& 256\\ \end{array}\right]\times 3$
Conv3_x	28 × 28	$\left[\begin{array}{cc}3\times 3,& 128\\ 3\times 3,& 128\\ \end{array}\right]\times 2$	$\left[\begin{array}{cc}1\times 1,& 128\\ 3\times 3,& 128\\ 1\times 1,& 512\\ \end{array}\right]\times 4$
Conv4_x	14 × 14	$\left[\begin{array}{cc}3\times 3,& 256\\ 3\times 3,& 256\\ \end{array}\right]\times 2$	$\left[\begin{array}{cc}1\times 1,& 256\\ 3\times 3,& 256\\ 1\times 1,& 1024\\ \end{array}\right]\times 6$
Conv5_x	7 × 7	$\left[\begin{array}{cc}3\times 3,& 256\\ 3\times 3,& 256\\ \end{array}\right]\times 2$	$\left[\begin{array}{cc}1\times 1,& 512\\ 3\times 3,& 512\\ 1\times 1,& 2048\\ \end{array}\right]\times 3$