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Table 1.
Architecture of feature extraction sub-network and reconstruction sub-network.
| Layer | Type | Kernel size (a) | Stride | Input shape (b) | Output shape (b) |
|---|---|---|---|---|---|
| C1, 1 | Conv+LeakyReLU | 5 × 5 × 32 | 1 | N × N × 1 | N × N × 32 |
| C1, 2 − C1, 4 | Residual block | 3 × 3 × 32 | 1 | N × N × 32 | N × N × 32 |
| C2, 1 | Conv+LeakyReLU | 5 × 5 × 64 | 2 | N × N × 32 | N/2 × N/2 × 64 |
| C2, 2 − C2, 4 | Residual block | 3 × 3 × 64 | 1 | N/2 × N/2 × 64 | N/2 × N/2 × 64 |
| C3, 1 | Conv+LeakyReLU | 5 × 5 × 128 | 2 | N/2 × N/2 × 64 | N/4 × N/4 × 128 |
| C3, 2 − C3, 4 | Residual block | 3 × 3 × 128 | 1 | N/4 × N/4 × 128 | N/4 × N/4 × 128 |
| C4, 1 | Residual block | 3 × 3 × 128 | 1 | N/4 × N/4 × 256 | N/4 × N/4 × 128 |
| C4, 2 − C4, 3 | Residual block | 3 × 3 × 128 | 1 | N/4 × N/4 × 128 | N/4 × N/4 × 128 |
| C4, 4 | TransposedConv+LeakyReLU | 3 × 3 × 64 | 2 | N/4 × N/4 × 128 | N/2 × N/2 × 64 |
| C5, 1 − C5, 3 | Residual block | 3 × 3 × 64 | 1 | N/2 × N/2 × 64 | N/2 × N/2 × 64 |
| C5, 4 | TransposedConv+LeakyReLU | 3 × 3 × 32 | 2 | N/2 × N/2 × 64 | N × N × 32 |
| C6, 1 − C6, 3 | Residual block | 3 × 3 × 32 | 1 | N × N × 32 | N × N × 32 |
| C6, 4 | Conv+LeakyReLU | 5 × 5 × 1 | 1 | N × N × 32 | N × N × 1 |
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