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Models/TwinLiteNetPlus-Nano

TwinLiteNetPlus-Nano

Reported on 10 benchmarks across 4 tasks · 1 paper

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

Computer Vision5 results

  • Drivable Area DetectiononBDD100K val
    Params (M)· 2024-03-25
    0.03
    best: 38.9 (YOLOPv2)
    TwinLiteNetPlus: A Stronger Model for Real-time Drivable Area and Lane SegmentationarXiv:2403.16958
  • Drivable Area DetectiononBDD100K val
    mIoU· 2024-03-25
    87.3
    best: 93.2 (YOLOPv2)
    TwinLiteNetPlus: A Stronger Model for Real-time Drivable Area and Lane SegmentationarXiv:2403.16958
  • Lane DetectiononBDD100K val
    Accuracy (%)· 2024-03-25
    70.2
    best: 87.8 (YOLOPv2)
    TwinLiteNetPlus: A Stronger Model for Real-time Drivable Area and Lane SegmentationarXiv:2403.16958
  • Lane DetectiononBDD100K val
    IoU (%)· 2024-03-25
    23.3
    best: 34.2 (TwinLiteNetPlus-Large)
    TwinLiteNetPlus: A Stronger Model for Real-time Drivable Area and Lane SegmentationarXiv:2403.16958
  • Lane DetectiononBDD100K val
    Params (M)· 2024-03-25
    0.03
    best: 38.9 (YOLOPv2)
    TwinLiteNetPlus: A Stronger Model for Real-time Drivable Area and Lane SegmentationarXiv:2403.16958

Robots3 results

  • Autonomous VehiclesonBDD100K val
    Accuracy (%)· 2024-03-25
    70.2
    best: 87.8 (YOLOPv2)
    TwinLiteNetPlus: A Stronger Model for Real-time Drivable Area and Lane SegmentationarXiv:2403.16958
  • Autonomous VehiclesonBDD100K val
    IoU (%)· 2024-03-25
    23.3
    best: 34.2 (TwinLiteNetPlus-Large)
    TwinLiteNetPlus: A Stronger Model for Real-time Drivable Area and Lane SegmentationarXiv:2403.16958
  • Autonomous VehiclesonBDD100K val
    Params (M)· 2024-03-25
    0.03
    best: 38.9 (YOLOPv2)
    TwinLiteNetPlus: A Stronger Model for Real-time Drivable Area and Lane SegmentationarXiv:2403.16958

Methodology2 results

  • 2D Object DetectiononBDD100K val
    Params (M)· 2024-03-25
    0.03
    best: 38.9 (YOLOPv2)
    TwinLiteNetPlus: A Stronger Model for Real-time Drivable Area and Lane SegmentationarXiv:2403.16958
  • 2D Object DetectiononBDD100K val
    mIoU· 2024-03-25
    87.3
    best: 93.2 (YOLOPv2)
    TwinLiteNetPlus: A Stronger Model for Real-time Drivable Area and Lane SegmentationarXiv:2403.16958