TABLE IV. Comparison of Deep Learning Models Utilized in This Work in Terms of Number of Training Parameters, Model Size, Training Time (for 100 Epochs in Experiment 1), and Inference Time.
| Model | Parameters | Model Size | Training time | Inference time |
|---|---|---|---|---|
| UNet | 31.07 M | 118.24 MB | 51 min | 531 ms |
| ENet | 343.7 K | 1.33MB | 15 min | 248 ms |
| UNet++ | 9.16 M | 34.95 MB | 58 min | 551 ms |
| SegNet | 29.44 M | 112.31 MB | 37 min | 528 ms |
| Attention UNet | 34.87 M | 133.05 MB | 63 min | 569 ms |
| LEDNet | 0.91 M | 3.8 MB | 16 min | 298 ms |
| DeepLabV3+ | 54.70 M | 208.66 MB | 42 min | 895 ms |
| Anam-Net (Proposed) | 4.47 M | 17.21 MB | 27 min | 362 ms |