Table 6 Comparison results of the model with and without the MOFA block on the TuSimple and CULane datasets.

From: Aggregate global features into separable hierarchical lane detection transformer

Dataset

Method

Accuracy (%)

Para.(M)

Training time (h)

FPS

TuSimple

MOFA Block

96.42

4.138

21.24

78

Non-MOFA Block

92.50

2.790

18.75

95

CULane

MOFA Block

72.89

4.138

61.75

75

Non-MOFA Block

62.53

2.790

53.23

93

  1. Significant are in value [bold].
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