Table 6 MIoU values of the proposed model in comparison to other deep learning architectures.
Model | Train Output Stride | Eval Output Stride | MIoU% |
|---|---|---|---|
DeepLabv3+ | 16 | 16 | 73.56 |
UNet | 16 | 16 | 72.66 |
DilatedFastFCN with JPU | 16 | 16 | 74.02 |
DANet | 16 | 16 | 74.89 |
Custom vanilla architecture | 16 | 16 | 76.03 |
Our ensemble edge fusion method | 16 | 16 | 77.73 |