Table 3 Comparison experiment results on CULane.
From: Aggregate global features into separable hierarchical lane detection transformer
Method | Total | Normal | Crowd | Night | No line | Shadow | Arrow | Dazzle light | Curve | Cross |
|---|---|---|---|---|---|---|---|---|---|---|
SCNN34 | 72.19 | 90.98 | 70.17 | 66.54 | 43.12 | 66.31 | 85.62 | 62.20 | 65.58 | 1808 |
RESA35 | 72.90 | 91.23 | 70.57 | 67.16 | 45.24 | 68.01 | 86.56 | 64.32 | 66.19 | 1679 |
UFLD36 | 68.40 | 87.70 | 66.00 | 62.10 | 40.20 | 62.80 | 81.00 | 58.40 | 57.90 | 1743 |
CurveLanes-NAS42 | 71.40 | 88.30 | 68.60 | 66.20 | 47.90 | 68.00 | 82.50 | 63.20 | 66.00 | 2817 |
FastDraw37 | 67.68 | 85.90 | 63.60 | 57.85 | 40.63 | 59.92 | 79.40 | 57.01 | 65.20 | 2013 |
ENet-SAD38 | 70.80 | 90.10 | 68.80 | 66.00 | 41.60 | 65.90 | 84.00 | 60.20 | 65.70 | 1998 |
LSTR27 | 68.72 | 86.78 | 67.34 | 59.92 | 40.10 | 59.82 | 78.66 | 56.63 | 56.64 | 1166 |
Ours | 72.89 | 91.06 | 71.30 | 67.23 | 44.75 | 70.51 | 87.11 | 61.73 | 66.61 | 1963 |
