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Lane Detection On Tusimple

Metriken

Accuracy
F1 score

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Vergleichstabelle
ModellnameAccuracyF1 score
keep-your-eyes-on-the-lane-attention-guided95.57%96.71
clrnet-cross-layer-refinement-network-for-97.62
rethinking-efficient-lane-detection-via-curve95.65%-
el-gan-embedding-loss-driven-generative96.40%96.26
rethinking-efficient-lane-detection-via-curve95.41%-
19050370496.29%95.23
keep-your-eyes-on-the-lane-attention-guided96.10%96.06
learning-to-cluster-for-proposal-free96.50%94.31
eigenlanes-data-driven-lane-descriptors-for95.62%-
end-to-end-lane-marker-detection-via-row-wise96.22%96.58
condlanenet-a-top-to-down-lane-detection95.37%96.98
canet-curved-guide-line-network-with-adaptive96.76%97.77
laneaf-robust-multi-lane-detection-with95.64%96.49
robust-lane-detection-through-self-pre98.38-
focus-on-local-detecting-lane-marker-from96.92-
lane-detection-and-classification-using95.24%90.82
Modell 1794.5%-
a-keypoint-based-global-association-network-97.68
contrastive-learning-for-lane-detection-via96.82-
canet-curved-guide-line-network-with-adaptive96.56%97.51
towards-lightweight-lane-detection-by96.58%96.38
polylanenet-lane-estimation-via-deep93.36%90.62
condlanenet-a-top-to-down-lane-detection95.48%-
end-to-end-lane-shape-prediction-with96.1896.68
learning-lightweight-lane-detection-cnns-by96.64%95.92
a-keypoint-based-global-association-network-97.71
lane-detection-with-position-embedding96.93-
condlanenet-a-top-to-down-lane-detection-97.01
Modell 2996.50%97.42
Modell 3095.84%-
towards-end-to-end-lane-detection-an-instance96.4%94.80
keep-your-eyes-on-the-lane-attention-guided95.63%96.77
canet-curved-guide-line-network-with-adaptive96.66%97.44
semantic-instance-segmentation-with-a96.40%-
condlanenet-a-top-to-down-lane-detection96.54%97.24
end-to-end-lane-marker-detection-via-row-wise96.11%96.37
clrnet-cross-layer-refinement-network-for96.82%97.89
clrnet-cross-layer-refinement-network-for96.9%97.82
a-keypoint-based-global-association-network-97.45
end-to-end-lane-marker-detection-via-row-wise96.02%96.25
resa-recurrent-feature-shift-aggregator-for96.8296.93