| semi-supervised-change-detection-on-levir-cd | UniMatch | #4 | IoU: 80.7 |
| semi-supervised-change-detection-on-levir-cd-1 | UniMatch | #4 | IoU: 82 |
| semi-supervised-change-detection-on-levir-cd-2 | UniMatch | #3 | IoU: 81.7 |
| semi-supervised-change-detection-on-levir-cd-3 | UniMatch | #3 | IoU: 82.1 |
| semi-supervised-change-detection-on-whu-10 | UniMatch | #2 | IoU: 81.7 |
| semi-supervised-change-detection-on-whu-20 | UniMatch | #3 | IoU: 81.7 |
| semi-supervised-change-detection-on-whu-40 | UniMatch | #3 | IoU: 85.1 |
| semi-supervised-change-detection-on-whu-5 | UniMatch | #2 | IoU: 80.2 |
| semi-supervised-medical-image-segmentation-on-2 | UniMatch | #2 | Dice (Average): 90.47 |
| semi-supervised-medical-image-segmentation-on-3 | UniMatch | #2 | Dice (Average): 89.92 |
| semi-supervised-medical-image-segmentation-on-4 | UniMatch | #3 | Dice (Average): 87.61 |
| semi-supervised-semantic-segmentation-on-1 | UniMatch (DeepLab v3+ with ImageNet-pretrained ResNet-101, single scale inference) | #8 | Validation mIoU: 79.22% |
| semi-supervised-semantic-segmentation-on-10 | UniMatch (DeepLab v3 with ResNet-101) | #10 | Validation mIoU: 81.2 |
| semi-supervised-semantic-segmentation-on-2 | UniMatch (DeepLab v3+ with ImageNet-pretrained ResNet-101, single scale inference) | #7 | Validation mIoU: 77.92% |
| semi-supervised-semantic-segmentation-on-21 | UniMatch (DeepLab v3+ with ResNet-101) | #6 | Validation mIoU: 80.94 |
| semi-supervised-semantic-segmentation-on-22 | UniMatch (DeepLab v3+ with ResNet-101 pretraind on ImageNet-1K) | #8 | Validation mIoU: 76.59 |
| semi-supervised-semantic-segmentation-on-27 | UniMatch (DeepLab v3+ with ResNet-101) | #10 | Validation mIoU: 75.20 |
| semi-supervised-semantic-segmentation-on-28 | UniMatch (DeepLab v3+ with ResNet-101) | #10 | Validation mIoU: 77.20 |
| semi-supervised-semantic-segmentation-on-29 | UniMatch (DeepLab v3+ with ResNet-101) | #10 | Validation mIoU: 78.80 |
| semi-supervised-semantic-segmentation-on-3 | UniMatch (DeepLab v3+ with ResNet-101) | #2 | Validation mIoU: 73.0 |
| semi-supervised-semantic-segmentation-on-30 | UniMatch (DeepLab v3+ with ResNet-101) | #10 | Validation mIoU: 79.90 |
| semi-supervised-semantic-segmentation-on-4 | UniMatch | #4 | Validation mIoU: 81.92% |
| semi-supervised-semantic-segmentation-on-41 | UniMatch | #4 | Validation mIoU: 28.1 |
| semi-supervised-semantic-segmentation-on-42 | UniMatch | #4 | Validation mIoU: 31.5 |
| semi-supervised-semantic-segmentation-on-8 | UniMatch | #10 | Validation mIoU: 79.5% |
| semi-supervised-semantic-segmentation-on-9 | UniMatch (DeepLab v3+ with ResNet-101) | #8 | Validation mIoU: 80.43 |
| semi-supervised-semantic-segmentation-on-coco | UniMatch | #5 | Validation mIoU: 31.9 |
| semi-supervised-semantic-segmentation-on-coco-1 | UniMatch | #6 | Validation mIoU: 38.9 |
| semi-supervised-semantic-segmentation-on-coco-2 | UniMatch | #5 | Validation mIoU: 44.5 |
| semi-supervised-semantic-segmentation-on-coco-3 | UniMatch | #5 | Validation mIoU: 48.2 |
| semi-supervised-semantic-segmentation-on-coco-4 | UniMatch | #4 | Validation mIoU: 49.8 |