| semi-supervised-semantic-segmentation-on-1 | CPS (DeepLab v3+ with ImageNet-pretrained ResNet-101, single scale inference) | #9 | Validation mIoU: 79.21% |
| semi-supervised-semantic-segmentation-on-2 | CPS (DeepLab v3+ with ImageNet-pretrained ResNet-101, single scale inference) | #11 | Validation mIoU: 77.62% |
| semi-supervised-semantic-segmentation-on-22 | CPS (DeepLab v3+ with ResNet-101) | #17 | Validation mIoU: 69.8 |
| semi-supervised-semantic-segmentation-on-23 | CPS (Range View) | #8 | mIoU (1% Labels): 33.7mIoU (10% Labels): 50.0mIoU (20% Labels): 52.8… |
| semi-supervised-semantic-segmentation-on-24 | CPS (Range View) | #10 | mIoU (1% Labels): 36.5mIoU (10% Labels): 52.3mIoU (20% Labels): 56.3… |
| semi-supervised-semantic-segmentation-on-25 | CPS (Range View) | #10 | mIoU (1% Labels): 40.7mIoU (10% Labels): 60.8mIoU (20% Labels): 64.9… |
| semi-supervised-semantic-segmentation-on-27 | CPS (DeepLab v3+ with ResNet-101) | #15 | Validation mIoU: 64.1 |
| semi-supervised-semantic-segmentation-on-28 | CPS (DeepLab v3+ with ResNet-101) | #14 | Validation mIoU: 67.4 |
| semi-supervised-semantic-segmentation-on-29 | CPS (DeepLab v3+ with ResNet-101) | #14 | Validation mIoU: 71.7 |
| semi-supervised-semantic-segmentation-on-30 | CPS (DeepLab v3+ with ResNet-101) | #14 | Validation mIoU: 75.9 |
| semi-supervised-semantic-segmentation-on-4 | CPS | #14 | Validation mIoU: 76.44% |
| semi-supervised-semantic-segmentation-on-8 | CPS (DeepLab v3+ with ImageNet-pretrained ResNet-101, single scale inference) | #7 | Validation mIoU: 80.21% |
| semi-supervised-semantic-segmentation-on-9 | CPS (DeepLab v3+ with ImageNet-pretrained ResNet-101, single scale inference) | #15 | Validation mIoU: 77.68% |