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Models/PVALane (Swin-B)

PVALane (Swin-B)

Reported on 14 benchmarks across 2 tasks

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

Robots7 results

  • Autonomous VehiclesonOpenLane
    Curve
    67.7
    best: 72.7 (GLane3D(Swin-B))
  • Autonomous VehiclesonOpenLane
    Extreme Weather
    64
  • Autonomous VehiclesonOpenLane
    F1 (all)
    63.4
    best: 66 (GLane3D(Swin-B))
  • Autonomous VehiclesonOpenLane
    Intersection
    53.6
    best: 57.9 (GLane3D(Swin-B))
  • Autonomous VehiclesonOpenLane
    Merge & Split
    60.8
    best: 67.7 (GLane3D(Swin-B))
  • Autonomous VehiclesonOpenLane
    Night
    58.6
    best: 62 (GLane3D(Swin-B))
  • Autonomous VehiclesonOpenLane
    Up & Down
    56.1
    best: 61.7 (GLane3D(Swin-B))

Computer Vision7 results

  • Lane DetectiononOpenLane
    Curve
    67.7
    best: 72.7 (GLane3D(Swin-B))
  • Lane DetectiononOpenLane
    Extreme Weather
    64
  • Lane DetectiononOpenLane
    F1 (all)
    63.4
    best: 66 (GLane3D(Swin-B))
  • Lane DetectiononOpenLane
    Intersection
    53.6
    best: 57.9 (GLane3D(Swin-B))
  • Lane DetectiononOpenLane
    Merge & Split
    60.8
    best: 67.7 (GLane3D(Swin-B))
  • Lane DetectiononOpenLane
    Night
    58.6
    best: 62 (GLane3D(Swin-B))
  • Lane DetectiononOpenLane
    Up & Down
    56.1
    best: 61.7 (GLane3D(Swin-B))