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Models/CLRerNet-DLA34

CLRerNet-DLA34

Reported on 10 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.

Robots5 results

  • Autonomous VehiclesonCULane
    F1 score· 2023-05-15
    81.12
    best: 81.23 (DLNet)
    SOTA
    CLRerNet: Improving Confidence of Lane Detection with LaneIoUarXiv:2305.08366
  • Autonomous VehiclesonCurveLanes
    F1 score· 2023-05-15
    86.47
    best: 88.47 (CondLSTR (ResNet-101))
    CLRerNet: Improving Confidence of Lane Detection with LaneIoUarXiv:2305.08366
  • Autonomous VehiclesonCurveLanes
    GFLOPs· 2023-05-15
    18.4
    best: 328.4 (SCNN)
    CLRerNet: Improving Confidence of Lane Detection with LaneIoUarXiv:2305.08366
  • Autonomous VehiclesonCurveLanes
    Precision· 2023-05-15
    91.66
    best: 93.58 (CurveLane-S)
    CLRerNet: Improving Confidence of Lane Detection with LaneIoUarXiv:2305.08366
  • Autonomous VehiclesonCurveLanes
    Recall· 2023-05-15
    81.83
    best: 84.36 (CANet-L(ResNet101))
    CLRerNet: Improving Confidence of Lane Detection with LaneIoUarXiv:2305.08366

Computer Vision5 results

  • Lane DetectiononCULane
    F1 score· 2023-05-15
    81.12
    best: 81.23 (DLNet)
    SOTA
    CLRerNet: Improving Confidence of Lane Detection with LaneIoUarXiv:2305.08366
  • Lane DetectiononCurveLanes
    F1 score· 2023-05-15
    86.47
    best: 88.47 (CondLSTR (ResNet-101))
    CLRerNet: Improving Confidence of Lane Detection with LaneIoUarXiv:2305.08366
  • Lane DetectiononCurveLanes
    GFLOPs· 2023-05-15
    18.4
    best: 328.4 (SCNN)
    CLRerNet: Improving Confidence of Lane Detection with LaneIoUarXiv:2305.08366
  • Lane DetectiononCurveLanes
    Precision· 2023-05-15
    91.66
    best: 93.58 (CurveLane-S)
    CLRerNet: Improving Confidence of Lane Detection with LaneIoUarXiv:2305.08366
  • Lane DetectiononCurveLanes
    Recall· 2023-05-15
    81.83
    best: 84.36 (CANet-L(ResNet101))
    CLRerNet: Improving Confidence of Lane Detection with LaneIoUarXiv:2305.08366