| semi-supervised-semantic-segmentation-on-1 | PS-MT (DeepLab v3+ with ImageNet-pretrained ResNet-50, single scale inference) | #15 | Validation mIoU: 78.38% |
| semi-supervised-semantic-segmentation-on-10 | PS-MT
(DeepLab v3+ with ImageNet-pretrained ResNet-101, single scale inference) | #11 | Validation mIoU: 80.01 |
| semi-supervised-semantic-segmentation-on-10 | PS-MT
(DeepLab v3+ with ImageNet-pretrained ResNet-50, single scale inference) | #14 | Validation mIoU: 78.08 |
| semi-supervised-semantic-segmentation-on-15 | PS-MT
(DeepLab v3+ with ImageNet-pretrained ResNet-101, single scale inference) | #5 | Validation mIoU: 79.76% |
| semi-supervised-semantic-segmentation-on-2 | PS-MT (DeepLab v3+ with ImageNet-pretrained ResNet50, single scale inference) | #13 | Validation mIoU: 77.12% |
| semi-supervised-semantic-segmentation-on-4 | PS-MT | #11 | Validation mIoU: 78.20% |
| semi-supervised-semantic-segmentation-on-4 | PS-MT | #18 | Validation mIoU: 75.70% |
| semi-supervised-semantic-segmentation-on-8 | PS-MT (DeepLab v3+ with ImageNet-pretrained ResNet-50, single scale inference) | #11 | Validation mIoU: 79.22% |
| semi-supervised-semantic-segmentation-on-9 | PS-MT
(DeepLab v3+ with ImageNet-pretrained ResNet-101, single scale inference) | #12 | Validation mIoU: 78.72 |