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Models/CondLaneNet-L(ResNet-101)

CondLaneNet-L(ResNet-101)

Reported on 14 benchmarks across 2 tasks · 1 paper · 6 SOTA

Note: results are matched by exact model name. Different papers may use the same name for different model variants.

Robots7 results

Autonomous VehiclesonCurveLanes
F1 score· uses extra data· 2021-05-11
86.1
best: 88.47 (CondLSTR (ResNet-101))
SOTA
CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution arXiv:2105.05003
Autonomous VehiclesonCULane
F1 score· 2021-05-11
79.48
best: 81.23 (DLNet)
SOTA
CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution arXiv:2105.05003
Autonomous VehiclesonTuSimple
F1 score· 2021-05-11
97.24
best: 97.95 (CLRNetV2 (ResNet34))
SOTA
CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution arXiv:2105.05003
Autonomous VehiclesonCurveLanes
FPS· uses extra data· 2021-05-11
48
best: 154 (CondLaneNet-S(ResNet-18))
CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution arXiv:2105.05003
Autonomous VehiclesonCurveLanes
GFLOPs· uses extra data· 2021-05-11
44.9
best: 328.4 (SCNN)
CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution arXiv:2105.05003
Autonomous VehiclesonCurveLanes
Precision· uses extra data· 2021-05-11
88.98
best: 93.58 (CurveLane-S)
CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution arXiv:2105.05003
Autonomous VehiclesonCurveLanes
Recall· uses extra data· 2021-05-11
83.41
best: 84.36 (CANet-L(ResNet101))
CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution arXiv:2105.05003

Computer Vision7 results

Lane DetectiononCurveLanes
F1 score· uses extra data· 2021-05-11
86.1
best: 88.47 (CondLSTR (ResNet-101))
SOTA
CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution arXiv:2105.05003
Lane DetectiononCULane
F1 score· 2021-05-11
79.48
best: 81.23 (DLNet)
SOTA
CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution arXiv:2105.05003
Lane DetectiononTuSimple
F1 score· 2021-05-11
97.24
best: 97.95 (CLRNetV2 (ResNet34))
SOTA
CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution arXiv:2105.05003
Lane DetectiononCurveLanes
FPS· uses extra data· 2021-05-11
48
best: 154 (CondLaneNet-S(ResNet-18))
CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution arXiv:2105.05003
Lane DetectiononCurveLanes
GFLOPs· uses extra data· 2021-05-11
44.9
best: 328.4 (SCNN)
CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution arXiv:2105.05003
Lane DetectiononCurveLanes
Precision· uses extra data· 2021-05-11
88.98
best: 93.58 (CurveLane-S)
CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution arXiv:2105.05003
Lane DetectiononCurveLanes
Recall· uses extra data· 2021-05-11
83.41
best: 84.36 (CANet-L(ResNet101))
CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution arXiv:2105.05003