| panoptic-segmentation-on-lars | Mask2Former (Swin-B) | #1 | PQ: 41.7 |
| panoptic-segmentation-on-lars | Panoptic FPN (ResNet-50) | #2 | PQ: 40.1 |
| panoptic-segmentation-on-lars | Mask2Former (Swin-T) | #3 | PQ: 39.2 |
| panoptic-segmentation-on-lars | Panoptic FPN (ResNet-101) | #4 | PQ: 38.7 |
| panoptic-segmentation-on-lars | Mask2Former (ResNet-50) | #5 | PQ: 37.6 |
| panoptic-segmentation-on-lars | Mask2Former (ResNet-101) | #6 | PQ: 37.2 |
| panoptic-segmentation-on-lars | Panoptic Deeplab (ResNet-50) | #7 | PQ: 34.7 |
| panoptic-segmentation-on-lars | MaX-DeepLab | #8 | PQ: 31.9 |
| semantic-segmentation-on-lars | KNet (Swin-T) | #1 | Q: 71.3F1: 73.4μ: 78.8mIoU: 97.2 |
| semantic-segmentation-on-lars | SegFormer (MiT-B2) | #2 | Q: 67.8F1: 70.0μ: 78.6mIoU: 96.8 |
| semantic-segmentation-on-lars | DeepLabv3 (ResNet-101) | #3 | Q: 62.9F1: 66.1μ: 77.5mIoU: 95.2 |
| semantic-segmentation-on-lars | PointRend | #4 | Q: 62.1F1: 65.4μ: 77.5mIoU: 94.9 |
| semantic-segmentation-on-lars | DeepLabv3+ (ResNet-101) | #5 | Q: 61.0F1: 64.0μ: 77.8mIoU: 95.4 |
| semantic-segmentation-on-lars | STDC2 | #6 | Q: 60.8F1: 64.3μ: 76.5mIoU: 94.5 |
| semantic-segmentation-on-lars | FCN (ResNet-101) | #7 | Q: 60.2F1: 63.4μ: 77.4mIoU: 95.0 |
| semantic-segmentation-on-lars | WaSR (ResNet-101) | #8 | Q: 59.5F1: 61.6μ: 71.0mIoU: 96.6 |
| semantic-segmentation-on-lars | STDC1 | #9 | Q: 57.8F1: 61.8μ: 75.6mIoU: 93.6 |
| semantic-segmentation-on-lars | FCN (ResNet-50) | #10 | Q: 53.6F1: 57.9μ: 76.8mIoU: 92.6 |
| semantic-segmentation-on-lars | Segmenter (ViT-B) | #11 | Q: 52.6F1: 55.2μ: 72.2mIoU: 95.1 |
| semantic-segmentation-on-lars | BiSeNetv2 | #12 | Q: 51.2F1: 54.7μ: 73.9mIoU: 93.5 |
| semantic-segmentation-on-lars | WODIS (ResNet-101) | #13 | Q: 40.7F1: 47.5μ: 63.0mIoU: 85.7 |
| semantic-segmentation-on-lars | BiSeNetv1 (ResNet-50) | #14 | Q: 39.4F1: 42.8μ: 73.3mIoU: 92.2 |
| semantic-segmentation-on-lars | IntCatchAI | #15 | Q: 20.5F1: 44.9μ: 62.4mIoU: 45.6 |
| semantic-segmentation-on-lars | UNet | #16 | Q: 13.9F1: 15.4μ: 75.7mIoU: 90.1 |
| video-semantic-segmentation-on-lars | WaSR-T (ResNet-101) | #1 | Q: 60.1F1: 62.1μ: 71.1mIoU: 96.7 |
| video-semantic-segmentation-on-lars | TMANet (ResNet-50) | #2 | Q: 57.5F1: 61.1μ: 77.1mIoU: 94.1 |
| video-semantic-segmentation-on-lars | CSANet (ResNet-101) | #3 | Q: 49.1F1: 52.1μ: 63.7mIoU: 94.2 |