Table 6 ResNet-50 architecture.
From: Attention-Enhanced CNNs and transformers for accurate monkeypox and skin disease detection
Stage | Bottleneck Block | Repeats | Output Channels | Stride Details |
|---|---|---|---|---|
Stem | 7 × 7 Conv | 1 | 64 | s = 2; followed by 3 × 3 MaxPool (s = 2) |
Conv2_x | Bottleneck Block | 3 | 256 | s = 1 |
Conv3_x | Bottleneck Block | 4 | 512 | First block: s = 2 |
Conv4_x | Bottleneck Block | 6 | 1024 | First block: s = 2 |
Conv5_x | Bottleneck Block | 3 | 2048 | First block: s = 2 |
Head | Global Average Pooling | 1 | 2048 | - |
