| semi-supervised-semantic-segmentation-on-1 | U2PL (DeepLab v3+ with ResNet-101 pretraind on ImageNet-1K, AEL) | #12 | Validation mIoU: 78.51% |
| semi-supervised-semantic-segmentation-on-10 | U2PL (DeepLab v3+ with ResNet-101) | #12 | Validation mIoU: 79.5 |
| semi-supervised-semantic-segmentation-on-15 | U2PL (DeepLab v3+ with ResNet-101 pretraind on ImageNet-1K, CutMix) | #3 | Validation mIoU: 80.5% |
| semi-supervised-semantic-segmentation-on-2 | U2PL (DeepLab v3+ with ResNet-101 pretraind on ImageNet-1K, AEL) | #15 | Validation mIoU: 76.48% |
| semi-supervised-semantic-segmentation-on-21 | U2PL (DeepLab v3+ with ResNet-101 pretraind on ImageNet-1K, CutMix) | #10 | Validation mIoU: 77.21 |
| semi-supervised-semantic-segmentation-on-22 | U2PL (DeepLab v3+ with ResNet-101 pretraind on ImageNet-1K, AEL) | #12 | Validation mIoU: 74.90% |
| semi-supervised-semantic-segmentation-on-27 | U2PL (DeepLab v3+ with ResNet-101) | #14 | Validation mIoU: 68.0 |
| semi-supervised-semantic-segmentation-on-28 | U2PL (DeepLab v3+ with ResNet-101) | #13 | Validation mIoU: 69.2 |
| semi-supervised-semantic-segmentation-on-29 | U2PL (DeepLab v3+ with ResNet-101) | #12 | Validation mIoU: 73.7 |
| semi-supervised-semantic-segmentation-on-30 | U2PL (DeepLab v3+ with ResNet-101) | #13 | Validation mIoU: 76.2 |
| semi-supervised-semantic-segmentation-on-4 | U2PL (DeepLab v3+ with ResNet-101 pretraind on ImageNet-1K, CutMix) | #10 | Validation mIoU: 79.01% |
| semi-supervised-semantic-segmentation-on-8 | U2PL (DeepLab v3+ with ResNet-101 pretraind on ImageNet-1K, AEL) | #13 | Validation mIoU: 79.12% |
| semi-supervised-semantic-segmentation-on-9 | U2PL (DeepLab v3+ with ResNet-101 pretraind on ImageNet-1K, CutMix) | #10 | Validation mIoU: 79.3 |