Semantic Segmentation on KITTI (test)
72.83mIoUOurs
Evaluation results
| Method | Links | |||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Oursinference_mode=multi-scale inference, scales=1.5, 2.0, 2.52018.12 | 72.83 | — | — | — | — | — | — | — | — | — | — | — | 48.68 | 75.26 | — | — | — | |
| MapillaryAI2018.12 | 69.56 | — | — | — | — | — | — | — | — | — | — | — | 43.17 | 68.89 | — | — | — | |
| LDN22018.12 | 63.51 | — | — | — | — | — | — | — | — | — | — | — | 28.31 | 59.07 | — | — | — | |
| AHISS2018.12 | 61.24 | — | — | — | — | — | — | — | — | — | — | — | 26.94 | 53.42 | — | — | — | |
| Dilation7layers=7, module=front-end + context2015.11 | 59.2 | 84.6 | 81.1 | 83 | 81.4 | 41.8 | 92.9 | 4.6 | 47.1 | 35.2 | 73.1 | 26.4 | — | — | — | — | — | |
| SegStereo2018.12 | 59.1 | — | — | — | — | — | — | — | — | — | — | — | 28 | 60.26 | — | — | — | |
| DeepLab-LFOVmodel_variant=LargeFOV2015.11 | 54.2 | 82.8 | 78.6 | 82.4 | 78 | 28.8 | 91.3 | 0 | 39.4 | 29.9 | 72.4 | 12.9 | — | — | — | — | — | |
| APMOE_seg2018.12 | 47.96 | — | — | — | — | — | — | — | — | — | — | — | 17.86 | 49.17 | — | — | — | |
| Ros et al.2015.11 | 39.9 | 71.8 | 69.5 | 84.4 | 51.2 | 4.2 | 72.4 | 1.7 | 32.4 | 2.6 | 45.3 | 3.2 | — | — | — | — | — | |
| Z-ACNLearned features=RGB + HHA2022.06 | 35.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 80.1 | |
| SurfConv-8Learned features=RGB + HHA2022.06 | 35.1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 79.4 | |
| DeformCNNLearned features=RGB + HHA2022.06 | 34.2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 79.2 | |
| Z-ACNLearned features=RGB2022.06 | 33.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 79.7 | |
| BaselineLearned features=RGB2022.06 | 31.3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 79.3 | |
| Conv3DLearned features=RGB + voxel2022.06 | 17.5 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 64.5 | |
| PointNetLearned features=RGB + pcl2022.06 | 9.4 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 55.1 | |
| AHISS2021.09 | — | — | — | — | — | — | — | — | — | — | — | — | 26.94 | 53.42 | 61.24 | 81.54 | — | |
| LDN22021.09 | — | — | — | — | — | — | — | — | — | — | — | — | 28.31 | 59.07 | 63.51 | 85.34 | — | |
| MapillaryAI2021.09 | — | — | — | — | — | — | — | — | — | — | — | — | 43.17 | 68.89 | 69.56 | 86.52 | — | |
| SegStereo2021.09 | — | — | — | — | — | — | — | — | — | — | — | — | 28 | 60.26 | 59.1 | 81.31 | — | |
| Warp-Refine PropagationTraining labels=warp-refine2021.09 | — | — | — | — | — | — | — | — | — | — | — | — | 50.92 | 73.69 | 76.44 | 89.63 | — | |
| Zhu et al.2021.09 | — | — | — | — | — | — | — | — | — | — | — | — | 48.68 | 75.26 | 72.83 | 88.99 | — |