Table 1.

Structure of residual networks.

Layer Name	ResNet-18	ResNet-34	ResNet-50	Output Size
Conv1	7 × 7, 64, stride 2			112 × 112
Conv2_x	3 × 3 max pool, stride 2			56 × 56
	$\left[\begin{array}{cc}3\times 3,& 64\\ 3\times 3,& 64\end{array}\right]\times 2$	$\left[\begin{array}{cc}3\times 3,& 64\\ 3\times 3,& 64\end{array}\right]\times 3$	$\left[\begin{array}{cc}\begin{array}{l}1\times 1,\\ 3\times 3,\end{array}& \begin{array}{l}64\\ 64\end{array}\\ 1\times 1,& 256\end{array}\right]\times 3$
Conv3_x	$\left[\begin{array}{cc}3\times 3,& 128\\ 3\times 3,& 128\end{array}\right]\times 2$	$\left[\begin{array}{cc}3\times 3,& 128\\ 3\times 3,& 128\end{array}\right]\times 4$	$\left[\begin{array}{cc}\begin{array}{l}1\times 1,\\ 3\times 3,\end{array}& \begin{array}{l}128\\ 128\end{array}\\ 1\times 1,& 512\end{array}\right]\times 4$	28 × 28
Conv4_x	$\left[\begin{array}{cc}3\times 3,& 256\\ 3\times 3,& 256\end{array}\right]\times 2$	$\left[\begin{array}{cc}3\times 3,& 256\\ 3\times 3,& 256\end{array}\right]\times 6$	$\left[\begin{array}{cc}\begin{array}{l}1\times 1,\\ 3\times 3,\end{array}& \begin{array}{l}256\\ 256\end{array}\\ 1\times 1,& 1028\end{array}\right]\times 6$	14 × 14
Conv5_x	$\left[\begin{array}{cc}3\times 3,& 512\\ 3\times 3,& 512\end{array}\right]\times 2$	$\left[\begin{array}{cc}3\times 3,& 512\\ 3\times 3,& 512\end{array}\right]\times 3$	$\left[\begin{array}{cc}\begin{array}{l}1\times 1,\\ 3\times 3,\end{array}& \begin{array}{l}512\\ 512\end{array}\\ 1\times 1,& 2048\end{array}\right]\times 3$	7 × 7
	Average pool, fc, softmax			1 × 1