绘制FCN的网络结构图
时间: 2023-06-09 09:07:22 浏览: 50
FCN的网络结构图如下所示:
```
Input -> Conv1 (64 filters, 3x3, stride 1, pad 1) -> ReLU -> Conv2 (64 filters, 3x3, stride 1, pad 1) -> ReLU -> MaxPool (2x2, stride 2)
-> Conv3 (128 filters, 3x3, stride 1, pad 1) -> ReLU -> Conv4 (128 filters, 3x3, stride 1, pad 1) -> ReLU -> MaxPool (2x2, stride 2)
-> Conv5 (256 filters, 3x3, stride 1, pad 1) -> ReLU -> Conv6 (256 filters, 3x3, stride 1, pad 1) -> ReLU -> Conv7 (256 filters, 3x3, stride 1, pad 1) -> ReLU -> MaxPool (2x2, stride 2)
-> Conv8 (512 filters, 3x3, stride 1, pad 1) -> ReLU -> Conv9 (512 filters, 3x3, stride 1, pad 1) -> ReLU -> Conv10 (512 filters, 3x3, stride 1, pad 1) -> ReLU -> MaxPool (2x2, stride 2)
-> Conv11 (512 filters, 3x3, stride 1, pad 1) -> ReLU -> Conv12 (512 filters, 3x3, stride 1, pad 1) -> ReLU -> Conv13 (512 filters, 3x3, stride 1, pad 1) -> ReLU -> MaxPool (2x2, stride 2)
-> Conv14 (4096 filters, 7x7, stride 1, pad 0) -> ReLU -> Dropout (probability 0.5)
-> Conv15 (4096 filters, 1x1, stride 1, pad 0) -> ReLU -> Dropout (probability 0.5)
-> Conv16 (n_classes filters, 1x1, stride 1, pad 0) -> Deconvolution (upsample 32x) -> Softmax -> Output
```