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Models/CondLaneNet-M(ResNet-34)

CondLaneNet-M(ResNet-34)

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

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

Robots7 results

Autonomous VehiclesonCurveLanes
Recall· uses extra data· 2021-05-11
83.68
best: 84.36 (CANet-L(ResNet101))
SOTA
CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution arXiv:2105.05003
Autonomous VehiclesonCurveLanes
F1 score· uses extra data· 2021-05-11
85.92
best: 88.47 (CondLSTR (ResNet-101))
CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution arXiv:2105.05003
Autonomous VehiclesonCurveLanes
FPS· uses extra data· 2021-05-11
109
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
19.7
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
88.29
best: 93.58 (CurveLane-S)
CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution arXiv:2105.05003
Autonomous VehiclesonCULane
F1 score· 2021-05-11
78.74
best: 81.23 (DLNet)
CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution arXiv:2105.05003
Autonomous VehiclesonTuSimple
F1 score· 2021-05-11
96.98
best: 97.95 (CLRNetV2 (ResNet34))
CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution arXiv:2105.05003

Computer Vision7 results

Lane DetectiononCurveLanes
Recall· uses extra data· 2021-05-11
83.68
best: 84.36 (CANet-L(ResNet101))
SOTA
CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution arXiv:2105.05003
Lane DetectiononCurveLanes
F1 score· uses extra data· 2021-05-11
85.92
best: 88.47 (CondLSTR (ResNet-101))
CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution arXiv:2105.05003
Lane DetectiononCurveLanes
FPS· uses extra data· 2021-05-11
109
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
19.7
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
88.29
best: 93.58 (CurveLane-S)
CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution arXiv:2105.05003
Lane DetectiononCULane
F1 score· 2021-05-11
78.74
best: 81.23 (DLNet)
CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution arXiv:2105.05003
Lane DetectiononTuSimple
F1 score· 2021-05-11
96.98
best: 97.95 (CLRNetV2 (ResNet34))
CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution arXiv:2105.05003