Table 2.
Deep learning network architecture.
| Multi-branch CNN Network Configuration | ||
|---|---|---|
| Input ( patch) | Input ( patch) | Input ( anchor) |
| conv3-64 | conv3-64 | conv3-64 |
| conv3-64 | conv3-64 | conv3-64 |
| maxpool2 | maxpool2 | maxpool2 |
| conv3-128 | conv3-128 | conv3-128 |
| conv3-128 | conv3-128 | conv3-128 |
| maxpool2 | maxpool2 | maxpool2 |
| conv3-256 | ||
| conv3-256 | ||
| maxpool2 | ||
| Pre-training | ||
| fc-4096 | fc-2048 | fc-2048 |
| fc-4096 | fc-2048 | fc-2048 |
| fc-1 | fc-1 | fc-1 |
| sigmoid | sigmoid | sigmoid |
| Training | ||
| concatenating | ||
| fc-4096 | ||
| fc-4096 | ||
| fc-1 | ||
| sigmoid | ||