Multiclass Lane Detection on DET (test)
0.7558Mean F1LDNet-multiclass
Evaluation results
| Method | Links | ||
|---|---|---|---|
| LDNet-multiclassNumber of parameters=5.71 M, FLOPS=12.49 GMac2020.09 | 0.7558 | 0.6279 | |
| SCNNNumber of parameters=25.16 M, FLOPS=90.98 GMac2020.09 | 0.7004 | 0.5629 | |
| LaneNetNumber of parameters=0.526 M, FLOPS=0.64 GMac2020.09 | 0.6979 | 0.5359 | |
| RefineNetNumber of parameters=99.02 M, FLOPS=46.51 GMac2020.09 | 0.6352 | 0.5029 | |
| FCNNumber of parameters=132.27 M, FLOPS=62.79 GMac2020.09 | 0.6039 | 0.4736 | |
| DeepLabv3Number of parameters=39.05 M, FLOPS=30.91 GMac2020.09 | 0.5976 | 0.473 |