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Lane Detection on TVTLane Normal Scenes 1 (test)

98.2Test AccuracySTFC_Att-SCNN_UNet_LSTM
96.473696.921897.3797.8182Feb 3, 2026

Evaluation results

MethodLinks
STFC_Att-SCNN_UNet_LSTMInput=continuous image sequence, MACs (G)=68.9, Params (M)=13.7, Note=Model variant used for ablation study2026.0298.290.693.692.1
STFC_Att-UNet_LSTMInput=continuous image sequence, MACs (G)=44.9, Params (M)=13.52026.0298.1488.794.191.1
ST_Att-UNet_LSTMInput=continuous image sequence, MACs (G)=44.8, Params (M)=13.52026.0298.0987.994.190.9
Tem_Att-UNet_LSTMInput=continuous image sequence, MACs (G)=44.7, Params (M)=13.52026.0298.0887.793.690.6
UNet_ConvLSTMInput=continuous image sequence, MACs (G)=69, Params (M)=51.12026.029885.795.890.4
LaneNetInput=single image, MACs (G)=44.5, Params (M)=19.72026.0297.9487.592.790.1
SegNet_ConvLSTMInput=continuous image sequence, MACs (G)=217, Params (M)=67.22026.0297.9287.493.190.1
SegNetInput=single image, MACs (G)=50.2, Params (M)=29.42026.0296.9379.696.287.1
SCNNInput=single image, MACs (G)=77.7, Params (M)=19.22026.0296.7965.480.872.2
U-NetInput=single image, MACs (G)=15.5, Params (M)=13.42026.0296.547998.587.7