Semantic Segmentation on KITTI
68.9Average IoUOurs_Segformer
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| Ours_SegformerBackbone=Segformer, Training Dataset=Mixed, Evaluation Protocol=Zero-shot2022.02 | 68.9 | — | — | — | |
| HRNet (Mappilary)Backbone=HRNet, Training Dataset=Mappilary, Evaluation Protocol=Zero-shot2022.02 | 68.5 | — | — | — | |
| Ours_HRNetBackbone=HRNet, Training Dataset=Mixed, Evaluation Protocol=Zero-shot2022.02 | 66.9 | — | — | — | |
| MSegTraining Dataset=Mixed, Evaluation Protocol=Zero-shot2022.02 | 62.4 | — | — | — | |
| Chroma UDATraining Dataset=KITTI, Evaluation Protocol=Supervised2022.02 | 60.4 | — | — | — | |
| HRNet (Cityscapes)Backbone=HRNet, Training Dataset=Cityscapes, Evaluation Protocol=Zero-shot2022.02 | 58.1 | — | — | — | |
| HRNet (BDD)Backbone=HRNet, Training Dataset=BDD, Evaluation Protocol=Zero-shot2022.02 | 55 | — | — | — | |
| HRNet (IDD)Backbone=HRNet, Training Dataset=IDD, Evaluation Protocol=Zero-shot2022.02 | 50.7 | — | — | — | |
| HRNet (COCO)Backbone=HRNet, Training Dataset=COCO, Evaluation Protocol=Zero-shot2022.02 | 48.2 | — | — | — | |
| SqueezeSegV2Batch Normalization=true, LiDAR mask=true, Focal loss=true, CAM module=true2018.09 | 44.9 | 73.2 | 27.8 | 33.6 | |
| HRNet (ADE)Backbone=HRNet, Training Dataset=ADE, Evaluation Protocol=Zero-shot2022.02 | 44.3 | — | — | — | |
| SqueezeSegBatch Normalization=true, LiDAR mask=true, Focal loss=true2018.09 | 40.5 | 71.2 | 22.8 | 27.5 | |
| SqueezeSegBatch Normalization=true, LiDAR mask=true2018.09 | 39.8 | 70 | 17.1 | 32.3 | |
| PointSeg2018.09 | 39.8 | 67.4 | 19.2 | 32.7 | |
| SqueezeSegBatch Normalization=true2018.09 | 37.4 | 71.6 | 15.2 | 25.4 | |
| SqueezeSeg2018.09 | 37.2 | 64.6 | 21.8 | 25.1 | |
| HRNet (SUN)Backbone=HRNet, Training Dataset=SUN, Evaluation Protocol=Zero-shot2022.02 | 0.7 | — | — | — |