| semi-supervised-semantic-segmentation-on-1 | CutMix (DeepLab v2, ImageNet pre-trained) | #25 | Validation mIoU: 63.87% |
| semi-supervised-semantic-segmentation-on-2 | CutMix (DeepLab v2, ImageNet pre-trained) | #29 | Validation mIoU: 60.34% |
| semi-supervised-semantic-segmentation-on-23 | CutMix-Seg (Range View) | #5 | mIoU (1% Labels): 36.7mIoU (10% Labels): 50.7mIoU (20% Labels): 52.9… |
| semi-supervised-semantic-segmentation-on-24 | CutMix-Seg (Range View) | #9 | mIoU (1% Labels): 37.4mIoU (10% Labels): 54.3mIoU (20% Labels): 56.6… |
| semi-supervised-semantic-segmentation-on-25 | CutMix-Seg (Range View) | #7 | mIoU (1% Labels): 43.8mIoU (10% Labels): 63.9mIoU (20% Labels): 64.8… |
| semi-supervised-semantic-segmentation-on-3 | CutMix (DeepLab v2, ImageNet pre-trained) | #12 | Validation mIoU: 51.2 |
| semi-supervised-semantic-segmentation-on-4 | CutMix | #25 | Validation mIoU: 72.45% |
| semi-supervised-semantic-segmentation-on-4 | CutMix | #31 | Validation mIoU: 67.6% |
| semi-supervised-semantic-segmentation-on-41 | CutMix | #5 | Validation mIoU: 26.2 |
| semi-supervised-semantic-segmentation-on-42 | CutMix | #5 | Validation mIoU: 29.8 |
| semi-supervised-semantic-segmentation-on-5 | CutMix (DeepLab v3+ ImageNet pre-trained) | #6 | Validation mIoU: 69.57% |
| semi-supervised-semantic-segmentation-on-5 | CutMix (DeepLab v2 ImageNet pre-trained) | #11 | Validation mIoU: 66.48% |
| semi-supervised-semantic-segmentation-on-6 | CutMix (DeepLab v3+ ImageNet pre-trained) | #4 | Validation mIoU: 67.05% |
| semi-supervised-semantic-segmentation-on-6 | CutMix (DeepLab v2 ImageNet pre-trained) | #7 | Validation mIoU: 64.81% |
| semi-supervised-semantic-segmentation-on-7 | CutMix (DeepLab v3+ ImageNet pre-trained) | #4 | Validation mIoU: 59.52% |
| semi-supervised-semantic-segmentation-on-7 | CutMix (DeepLab v2 ImageNet pre-trained) | #6 | Validation mIoU: 53.79% |