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The detailed information of the discriminant model.
| Layer | Filter Size | Stride | Output Dimension | Activation Function | BN |
|---|---|---|---|---|---|
| Input | — | — | (128, 128, 3) | Leaky ReLU | No |
| Conv1 | 5 × 5 | 2 | (64, 64, 64) | Leaky ReLU | Yes |
| Conv2 | 5 × 5 | 2 | (32, 32, 128) | Leaky ReLU | Yes |
| Conv3 | 5 × 5 | 2 | (16, 16, 256) | Leaky ReLU | Yes |
| Conv4 | 5 × 5 | 2 | (8, 8, 512) | Leaky ReLU | Yes |
| Conv5 | 5 × 5 | 2 | (4, 4, 1024) | Leaky ReLU | Yes |
| Output | — | — | (0, 1) | sigmoid | Yes |
Conv = convolutional layer.
