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Comparison of computational complexity and performance of DL models.
| Model Name | Number of Parameters | Size on Disk | Inference Times/Dataset | Training Times/Dataset | ||
|---|---|---|---|---|---|---|
| Trainable | Non-Trainable | CPU (sec) | GPU (sec) | GPU (days) | ||
| C-ENET | 793,917 | 11426 | 11 MB | 16.857 | 4.026 | 4.22 |
| ENET | 363,069 | 8354 | 5.8 MB | 12.833 | 3.505 | 3.47 |
| ERFNET | 2,056,440 | 0 | 25.3 MB | 10.630 | 2.614 | 2.87 |
