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SOTA
Lane Detection
Lane Detection On Culane
Lane Detection On Culane
Metrics
F1 score
Results
Performance results of various models on this benchmark
Columns
Model Name
F1 score
Paper Title
CLRerNet-DLA34
81.12
CLRerNet: Improving Confidence of Lane Detection with LaneIoU
CLRerNet-Res101
80.91
CLRerNet: Improving Confidence of Lane Detection with LaneIoU
CondLSTR(ResNet-101)
80.77
Generating Dynamic Kernels via Transformers for Lane Detection
CLRerNet-Res34
80.76
CLRerNet: Improving Confidence of Lane Detection with LaneIoU
CLRKDNet (DLA-34)
80.68
CLRKDNet: Speeding up Lane Detection with Knowledge Distillation
CondLSTR(ResNet-34)
80.55
Generating Dynamic Kernels via Transformers for Lane Detection
CLRNet(DLA-34)
80.47
CLRNet: Cross Layer Refinement Network for Lane Detection
CondLSTR(ResNet-18)
80.36
Generating Dynamic Kernels via Transformers for Lane Detection
FENetV2
80.19
FENet: Focusing Enhanced Network for Lane Detection
FENetV1
80.15
FENet: Focusing Enhanced Network for Lane Detection
CLRNet(ResNet-101)
80.13
CLRNet: Cross Layer Refinement Network for Lane Detection
CLRmatchNet (Enhancing curved lane, Resnet-101)
80.00
CLRmatchNet: Enhancing Curved Lane Detection with Deep Matching Process
CANet-L(ResNet101)
79.86
CANet: Curved Guide Line Network with Adaptive Decoder for Lane Detection
CLRNet(ResNet-34)
79.73
CLRNet: Cross Layer Refinement Network for Lane Detection
CLRKDNet (ResNet-18)
79.66
CLRKDNet: Speeding up Lane Detection with Knowledge Distillation
GANet(ResNet-101)
79.63
A Keypoint-based Global Association Network for Lane Detection
CLRNet(ResNet-18)
79.58
CLRNet: Cross Layer Refinement Network for Lane Detection
CondLaneNet-L(ResNet-101)
79.48
CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution
GANet(ResNet-34)
79.39
A Keypoint-based Global Association Network for Lane Detection
CLRNet - CLLD
79.27
Contrastive Learning for Lane Detection via cross-similarity
0 of 57 row(s) selected.
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Lane Detection On Culane | SOTA | HyperAI