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Table 1 Structure of discriminator

From: Dynamic scene deblurring and image de-raining based on generative adversarial networks and transfer learning for Internet of vehicle

# Layer Size of feature map Stride Parameters Receptive field
1 Input \(256 \times 256 \times 3\)
2 Conv \(128 \times 128 \times 64\) 2 3136 142
3 Conv \(64 \times 64 \times 64\) 2 65,600 70
4 Conv \(32 \times 32 \times 128\) 2 131,200 34
5 Conv \(16 \times 16 \times 256\) 2 524,544 16
6 Conv \(16 \times 16 \times 512\) 1 2,097,644 7
7 Conv \(16 \times 16 \times 1\) 1 8193 4
8 Dense 263,168
9 Dense 1025