Open Access

Table 2

Detailed parameter configuration of the SF-ResNet architecture.

Layer Type Kernel Size Stride Padding Input Size Output Size
1 Conv + BN +FReLU 3 × 3 × 64 2 1 6× 360× 360 64 × 360 × 360
2 Max pooling 3 × 3 2 0 64 × 360 × 360 64 × 179 × 179
3 ResBlock + BN +FReLU [1×1×643×3×641×1×256]$\[\left[\begin{array}{c}1 \times 1 \times 64 \\3 \times 3 \times 64 \\1 \times 1 \times 256\end{array}\right]\]$ [111]$\[\left[\begin{array}{l}1 \\1 \\1\end{array}\right]\]$ [010]$\[\left[\begin{array}{l}0 \\1 \\0\end{array}\right]\]$ 64 × 179 × 179 256 × 179 × 179
4 Max pooling 3 × 3 2 0 256 × 179 × 179 256 × 89 × 89
5 ResBlock [1×1×1283×3×1281×1×512]$\[\left[\begin{array}{l}1 \times 1 \times 128 \\3 \times 3 \times 128 \\1 \times 1 \times 512\end{array}\right]\]$ [121]$\[\left[\begin{array}{l}1 \\2 \\1\end{array}\right]\]$ [010]$\[\left[\begin{array}{l}0 \\1 \\0\end{array}\right]\]$ 256 × 89 × 89 512 × 45 × 45
6 ResBlock [1×1×2563×3×2561×1×1024]$\[\left[\begin{array}{c}1 \times 1 \times 256 \\3 \times 3 \times 256 \\1 \times 1 \times 1024\end{array}\right]\]$ [121]$\[\left[\begin{array}{l}1 \\2 \\1\end{array}\right]\]$ [010]$\[\left[\begin{array}{l}0 \\1 \\0\end{array}\right]\]$ 512 × 45 × 45 1024 × 23 × 23
7 ResBlock×3 [1×1×1283×3×1281×1×512]$\[\left[\begin{array}{l}1 \times 1 \times 128 \\3 \times 3 \times 128 \\1 \times 1 \times 512\end{array}\right]\]$ [111]$\[\left[\begin{array}{l}1 \\1 \\1\end{array}\right]\]$ [010]$\[\left[\begin{array}{l}0 \\1 \\0\end{array}\right]\]$ 1024 × 23 × 23 1024 × 23 × 23
8 ResBlock [1×1×5123×3×5121×1×2048]$\[\left[\begin{array}{c}1 \times 1 \times 512 \\3 \times 3 \times 512 \\1 \times 1 \times 2048\end{array}\right]\]$ [121]$\[\left[\begin{array}{l}1 \\2 \\1\end{array}\right]\]$ [010]$\[\left[\begin{array}{l}0 \\1 \\0\end{array}\right]\]$ 1024 × 23 × 23 2048 × 12 × 12
9 Global average pooling 12 × 12 2048 × 12 × 12 2048 × 1 × 1
10 Global average pooling 2048 × 1 × 1 1 × 189
11 Concat 1 × 189 3 × 63

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