Free Access
Table 2.
LASTRO EPFL architecture.
| Layer type | Shape | Activation | # parameters |
|---|---|---|---|
| Convolutional 4 × 4 | 101 × 101 × 1/4 → 98 × 98 × 16 | Rectifier | 256/1024 + 16 |
| Convolutional 3 × 3 | 98 × 98 × 16 → 96 × 96 × 16 | Rectifier | 2304 + 16 |
| Max pool/2 | 96 × 96 × 16 → 48 × 48 × 16 | – | – |
| Batch normalization | 48 × 48 × 16 | – | 16 + 16 |
| Convolutional 3 × 3 | 48 × 48 × 16 → 46 × 46 × 32 | Rectifier | 4608 + 32 |
| Convolutional 3 × 3 | 46 × 46 × 32 → 44 × 44 × 32 | Rectifier | 9216 + 32 |
| Max pool/2 | 44 × 44 × 32 → 22 × 22 × 32 | – | – |
| Batch normalization | 22 × 22 × 32 | – | 32 + 32 |
| Convolutional 3 × 3 | 22 × 22 × 32 → 20 × 20 × 64 | Rectifier | 18 432 + 64 |
| Convolutional 3 × 3 | 20 × 20 × 64 → 18 × 18 × 64 | Rectifier | 36864 + 64 |
| Max pool/2 | 18 × 18 × 64 → 9 × 9 × 64 | – | – |
| Batch normalization | 9 × 9 × 64 | – | 64 + 64 |
| Dropout | 9 × 9 × 64 | – | – |
| Convolutional 3 × 3 | 9 × 9 × 64 → 7 × 7 × 128 | Rectifier | 73 728 + 128 |
| Dropout | 7 × 7 × 128 | – | – |
| Convolutional 3 × 3 | 7 × 7 × 128 → 5 × 5 × 128 | Rectifier | 147 456 + 128 |
| Batch normalization | 5 × 5 × 128 | – | 128 + 128 |
| Dropout | 5 × 5 × 128 | – | – |
| Fully-connected | 5 × 5 × 128 → 1024 | Rectifier | 3 276 800 + 1024 |
| Dropout | 1024 | – | – |
| Fully-connected | 1024 → 1024 | Rectifier | 1 048 576 + 1024 |
| Dropout | 1024 | – | – |
| Fully-connected | 1024 → 1024 | Rectifier | 1 048 576 +1024 |
| Batch normalization | 1024 | – | 1024 + 1024 |
| Fully-connected | 1024 → 1 | Sigmoid | 1024 + 1 |
| Total | – | – | ≈5 674 000 |
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.