Lane Detection on CULane (F1 Metrics)
80.47F1@50CLRNet
Evaluation Results
| Method | Links | ||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| CLRNetBackbone=DLA342022.03 | 80.47 | 55.64 | 62.78 | — | 18.5 | 93.73 | 79.59 | 75.3 | 82.51 | 54.58 | 90.62 | 74.13 | 1,155 | 75.37 | |
| CLRNetBackbone=DLA34, GFlops=18.52023.12 | 80.47 | 55.64 | 62.78 | — | — | — | — | — | — | — | — | — | — | — | |
| FENetV2Backbone=DLA34, GFlops=18.852023.12 | 80.19 | 56.17 | 63.5 | — | — | — | — | — | — | — | — | — | — | — | |
| FENetV1Backbone=DLA34, GFlops=19.052023.12 | 80.15 | 56.27 | 63.66 | — | — | — | — | — | — | — | — | — | — | — | |
| CLRNetBackbone=ResNet1012022.03 | 80.13 | 55.55 | 62.96 | — | 42.9 | 93.85 | 78.78 | 72.49 | 82.33 | 54.5 | 89.79 | 75.57 | 1,262 | 75.51 | |
| CLRNetBackbone=ResNet101, GFlops=42.92023.12 | 80.13 | 55.55 | 62.96 | — | — | — | — | — | — | — | — | — | — | — | |
| CLRNetBackbone=ResNet342022.03 | 79.73 | 55.14 | 62.11 | — | 21.5 | 93.49 | 78.06 | 74.57 | 79.92 | 54.01 | 90.59 | 72.77 | 1,216 | 75.02 | |
| CLRNetBackbone=ResNet34, GFlops=21.52023.12 | 79.73 | 55.14 | 62.11 | — | — | — | — | — | — | — | — | — | — | — | |
| GANet-LBackbone=ResNet1012023.12 | 79.63 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CLRNetBackbone=ResNet182022.03 | 79.58 | 55.23 | 62.21 | — | 11.9 | 93.3 | 78.33 | 73.71 | 79.66 | 53.14 | 90.25 | 71.56 | 1,321 | 75.11 | |
| CLRNetBackbone=ResNet18, GFlops=11.92023.12 | 79.58 | 55.23 | 62.21 | — | — | — | — | — | — | — | — | — | — | — | |
| CondLaneBackbone=ResNet1012022.03 | 79.48 | 54.83 | 61.23 | 47 | 44.8 | 93.47 | 77.44 | 70.93 | 80.91 | 54.13 | 90.16 | 75.21 | 1,201 | 74.8 | |
| GANet-MBackbone=ResNet342023.12 | 79.39 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| FOLOLaneBackbone=ERFNet2022.03 | 78.8 | — | — | 40 | — | 92.7 | 77.8 | 75.2 | 79.3 | 52.1 | 89 | 69.4 | 1,569 | 74.5 | |
| FOLOLaneBackbone=ERFNet2023.12 | 78.8 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| GANet-SBackbone=ResNet182023.12 | 78.79 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| CondLaneBackbone=ResNet342022.03 | 78.74 | 53.11 | 59.39 | 128 | 19.6 | 93.38 | 77.14 | 71.17 | 79.93 | 51.85 | 89.89 | 73.88 | 1,387 | 73.92 | |
| CondLaneBackbone=ResNet182022.03 | 78.14 | 51.84 | 57.42 | 173 | 10.2 | 92.87 | 75.79 | 70.72 | 80.01 | 52.39 | 89.37 | 72.4 | 1,364 | 73.23 | |
| LaneAFBackbone=DLA342022.03 | 77.41 | 50.42 | 56.79 | 20 | 23.6 | 91.8 | 75.61 | 71.78 | 79.12 | 51.38 | 86.88 | 72.7 | 1,360 | 73.03 | |
| LaneAFBackbone=DLA34, GFlops=23.62023.12 | 77.41 | 50.42 | 56.79 | — | — | — | — | — | — | — | — | — | — | — | |
| SGNetBackbone=ResNet342022.03 | 77.27 | — | — | 92 | — | 92.07 | 75.41 | 67.75 | 74.31 | 50.9 | 87.97 | 69.65 | 1,373 | 72.69 | |
| LaneATTBackbone=ResNet1222022.03 | 77.02 | 51.48 | 57.5 | 20 | 70.5 | 91.74 | 76.16 | 69.47 | 76.31 | 50.46 | 86.29 | 64.05 | 1,264 | 70.81 | |
| LaneATTBackbone=ResNet122, GFlops=70.52023.12 | 77.02 | 51.48 | 57.5 | — | — | — | — | — | — | — | — | — | — | — | |
| LaneATTBackbone=ResNet342022.03 | 76.68 | 49.57 | 54.34 | 129 | 18 | 92.14 | 75.03 | 66.47 | 78.15 | 49.39 | 88.38 | 67.72 | 1,330 | 70.72 | |
| LaneATTBackbone=ResNet34, GFlops=182023.12 | 76.68 | 49.57 | 54.34 | — | — | — | — | — | — | — | — | — | — | — | |
| SGNetBackbone=ResNet182022.03 | 76.12 | — | — | 117 | — | 91.42 | 74.05 | 66.89 | 72.17 | 50.16 | 87.13 | 67.02 | 1,164 | 70.67 | |
| UFLDV2Backbone=ResNet342023.12 | 76 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| LaneAFBackbone=ERFNet2022.03 | 75.63 | 48.6 | 54.53 | 24 | 22.2 | 91.1 | 73.32 | 69.71 | 75.81 | 50.62 | 86.86 | 65.02 | 1,844 | 70.9 | |
| LaneAFBackbone=ERFNet, GFlops=22.22023.12 | 75.63 | 48.6 | 54.53 | — | — | — | — | — | — | — | — | — | — | — | |
| RESABackbone=ResNet502022.03 | 75.3 | 47.86 | 53.39 | 35.7 | 43 | 92.1 | 73.1 | 69.2 | 72.8 | 47.7 | 88.3 | 70.3 | 1,503 | 69.9 | |
| LaneATTBackbone=ResNet182022.03 | 75.13 | 47.35 | 51.29 | 153 | 9.3 | 91.17 | 72.71 | 65.82 | 68.03 | 49.13 | 87.82 | 63.75 | 1,020 | 68.58 | |
| LaneATTBackbone=ResNet18, GFlops=9.32023.12 | 75.13 | 47.35 | 51.29 | — | — | — | — | — | — | — | — | — | — | — | |
| UFLDV2Backbone=ResNet182023.12 | 75 | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| RESABackbone=ResNet342022.03 | 74.5 | — | — | 45.5 | 41 | 91.9 | 72.4 | 66.5 | 72 | 46.3 | 88.1 | 68.6 | 1,896 | 69.8 | |
| PINetBackbone=Hourglass2022.03 | 74.4 | 46.81 | 51.33 | 25 | — | 90.3 | 72.3 | 66.3 | 68.4 | 49.8 | 83.7 | 65.2 | 1,427 | 67.7 | |
| E2EBackbone=ERFNet2022.03 | 74 | — | — | — | — | 91 | 73.1 | 64.5 | 74.1 | 46.6 | 85.8 | 71.9 | 2,022 | 67.9 | |
| UFLDBackbone=ResNet342022.03 | 72.3 | — | — | 170 | 16.9 | 90.7 | 70.2 | 59.5 | 69.3 | 44.4 | 85.7 | 69.5 | 2,037 | 66.7 | |
| SCNNBackbone=VGG162022.03 | 71.6 | 38.84 | 39.84 | 7.5 | 328.4 | 90.6 | 69.7 | 58.5 | 66.9 | 43.4 | 84.1 | 64.4 | 1,990 | 66.1 | |
| UFLDBackbone=ResNet182022.03 | 68.4 | 38.94 | 40.01 | 282 | 8.4 | 87.7 | 66 | 58.4 | 62.8 | 40.2 | 81 | 57.9 | 1,743 | 62.1 | |
| FastDrawBackbone=ResNet502022.03 | — | — | — | 90.3 | — | 85.9 | 63.6 | 57 | 69.9 | 40.6 | 79.4 | 65.2 | 7,013 | 57.8 |