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Models/CondLaneNet-S(ResNet-18)

CondLaneNet-S(ResNet-18)

Reported on 12 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.

Robots6 results

Autonomous VehiclesonCurveLanes
FPS· uses extra data· 2021-05-11
154
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
85.09
best: 88.47 (CondLSTR (ResNet-101))
CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution arXiv:2105.05003
Autonomous VehiclesonCurveLanes
GFLOPs· uses extra data· 2021-05-11
10.3
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
87.75
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
82.58
best: 84.36 (CANet-L(ResNet101))
CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution arXiv:2105.05003
Autonomous VehiclesonCULane
F1 score· 2021-05-11
78.14
best: 81.23 (DLNet)
CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution arXiv:2105.05003

Computer Vision6 results

Lane DetectiononCurveLanes
FPS· uses extra data· 2021-05-11
154
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
85.09
best: 88.47 (CondLSTR (ResNet-101))
CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution arXiv:2105.05003
Lane DetectiononCurveLanes
GFLOPs· uses extra data· 2021-05-11
10.3
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
87.75
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
82.58
best: 84.36 (CANet-L(ResNet101))
CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution arXiv:2105.05003
Lane DetectiononCULane
F1 score· 2021-05-11
78.14
best: 81.23 (DLNet)
CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution arXiv:2105.05003