Binary Lane Detection on DET (test)
85.18Mean F1LDNet-binary class
Evaluation results
| Method | Links | ||
|---|---|---|---|
| LDNet-binary classNumber of parameters=5.71 M, FLOPS=12.49 GMac2020.09 | 85.18 | 76.71 | |
| SCNNNumber of parameters=25.16 M, FLOPS=90.98 GMac2020.09 | 80.15 | 67.34 | |
| LaneNetNumber of parameters=0.526 M, FLOPS=0.64 GMac2020.09 | 79.21 | 64.74 | |
| RefineNetNumber of parameters=99.02 M, FLOPS=46.51 GMac2020.09 | 75.78 | 61.44 | |
| FCNNumber of parameters=132.27 M, FLOPS=62.79 GMac2020.09 | 72.65 | 58.51 | |
| DeepLabv3Number of parameters=39.05 M, FLOPS=30.91 GMac2020.09 | 71.93 | 58.45 |