Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection

Benchmark Model Rank Results
lane-detection-on-culaneLaneATT (ResNet-122)#28F1 score: 77.02
lane-detection-on-culaneLaneATT (ResNet-34)#29F1 score: 76.68
lane-detection-on-culaneLaneATT (ResNet-18)#35F1 score: 75.13
lane-detection-on-llamasLaneATT (ResNet-34)#6F1: 0.9374
lane-detection-on-llamasLaneATT (ResNet-122)#7F1: 0.9354
lane-detection-on-llamasLaneATT (ResNet-18)#8F1: 0.9346
lane-detection-on-tusimpleLaneATT (ResNet-122)#14Accuracy: 96.10%F1 score: 96.06
lane-detection-on-tusimpleLaneATT (ResNet-34)#18Accuracy: 95.63%F1 score: 96.77
lane-detection-on-tusimpleLaneATT (ResNet-18)#20Accuracy: 95.57%F1 score: 96.71