| model | acc | acc_cls | mean_iu | notes |
|---|---|---|---|---|
| FCN32s | 90.17% | 75.56% | 61.81% | lr=1.0e-10 reduction='sum' |
| FCN32s(original) | - | - | 63.6% | |
| FCN8sAtOnce | 90.27% | 74.95% | 62.13% | lr=1.0e-10 reduction='sum' |
| FCN8sAtOnce(original) | - | - | 65.4% | |
| DeepLab-LargeFov | 93.71% | 72.21% | 61.32% | pad images to 513x513 for evaluation |
| DeepLab-LargeFov | 90.90% | 73.89% | 62.09% | use original resolution for evaluation |
| DeepLab-LargeFov(original) | - | - | 62.25% | |
| DeepLab-ASPP | 93.10 | 80.13% | 61.07% | |
| DeepLab-ASPP(original) | - | - | 68.96% |
| model | acc | acc_cls | mean_iu | notes |
|---|---|---|---|---|
| SegNet(Maxunpooling, vgg16-based) | 86.71% | 66.39% | 54.09% | lr=0.01 |
| SegNet(Maxunpooling, vg16_bn-based) | 87.84% | 70.75% | 57.68% | lr=0.01 |
| SegNet(Bilinear interpolation) | 85.86% | 71.95% | 56.22% | lr=0.01 |
| SegNet(original) | 88.6% | 65.9% | 50.2% | |
| UNet | 84.38% | 62.80% | 49.83% | lr=0.01 |