Table 2. Summary table of the CNN architectures used in the experiments.
Name | Segmentation model | Encoder backbone | FOV | Native FOV |
---|---|---|---|---|
FPN-InceptionV3 | FPN | InceptionV3 | 288 px × 288 px | 299 px × 299 px |
FPN-MobileNet | MobileNet | 224 px × 224 px | 224 px × 224 px | |
FPN-ResNet34 | ResNet34 | 224 px × 224 px | 224 px × 224 px | |
LinkNet-InceptionV3 | LinkNet | InceptionV3 | 288 px × 288 px | 288 px × 288 px |
LinkNet-MobileNet | MobileNet | 224 px × 224 px | 224 px × 224 px | |
LinkNet-ResNet34 | ResNet34 | 224 px × 224 px | 224 px × 224 px | |
PSPNet-InceptionV3 | PSPNet | InceptionV3 | 288 px × 288 px | 288 px × 288 px |
PSPNet-MobileNet | MobileNet | 224 px × 224 px | 224 px × 224 px | |
PSPNet-ResNet34 | ResNet34 | 224 px × 224 px | 224 px × 224 px | |
U-Net-InceptionV3 | U-Net | InceptionV3 | 288 px × 288 px | 288 px × 288 px |
U-Net-MobileNet | MobileNet | 224 px × 224 px | 224 px × 224 px | |
U-Net-ResNet34 | ResNet34 | 224 px × 224 px | 224 px × 224 px |
CNN, convolutional neural networks; FOV, field of view; FPN, Feature Pyramid Networks.