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Models/TwinLiteNet

TwinLiteNet

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)· 2023-07-20
0.43
best: 38.9 (YOLOPv2)
TwinLiteNet: An Efficient and Lightweight Model for Driveable Area and Lane Segmentation in Self-Driving Cars arXiv:2307.10705
Drivable Area DetectiononBDD100K val
mIoU· 2023-07-20
91.3
best: 93.2 (YOLOPv2)
TwinLiteNet: An Efficient and Lightweight Model for Driveable Area and Lane Segmentation in Self-Driving Cars arXiv:2307.10705
Lane DetectiononBDD100K val
Accuracy (%)· 2023-07-20
77.8
best: 87.8 (YOLOPv2)
TwinLiteNet: An Efficient and Lightweight Model for Driveable Area and Lane Segmentation in Self-Driving Cars arXiv:2307.10705
Lane DetectiononBDD100K val
IoU (%)· 2023-07-20
31.08
best: 34.2 (TwinLiteNetPlus-Large)
TwinLiteNet: An Efficient and Lightweight Model for Driveable Area and Lane Segmentation in Self-Driving Cars arXiv:2307.10705
Lane DetectiononBDD100K val
Params (M)· 2023-07-20
0.43
best: 38.9 (YOLOPv2)
TwinLiteNet: An Efficient and Lightweight Model for Driveable Area and Lane Segmentation in Self-Driving Cars arXiv:2307.10705

Robots3 results

Autonomous VehiclesonBDD100K val
Accuracy (%)· 2023-07-20
77.8
best: 87.8 (YOLOPv2)
TwinLiteNet: An Efficient and Lightweight Model for Driveable Area and Lane Segmentation in Self-Driving Cars arXiv:2307.10705
Autonomous VehiclesonBDD100K val
IoU (%)· 2023-07-20
31.08
best: 34.2 (TwinLiteNetPlus-Large)
TwinLiteNet: An Efficient and Lightweight Model for Driveable Area and Lane Segmentation in Self-Driving Cars arXiv:2307.10705
Autonomous VehiclesonBDD100K val
Params (M)· 2023-07-20
0.43
best: 38.9 (YOLOPv2)
TwinLiteNet: An Efficient and Lightweight Model for Driveable Area and Lane Segmentation in Self-Driving Cars arXiv:2307.10705

Methodology2 results

2D Object DetectiononBDD100K val
Params (M)· 2023-07-20
0.43
best: 38.9 (YOLOPv2)
TwinLiteNet: An Efficient and Lightweight Model for Driveable Area and Lane Segmentation in Self-Driving Cars arXiv:2307.10705
2D Object DetectiononBDD100K val
mIoU· 2023-07-20
91.3
best: 93.2 (YOLOPv2)
TwinLiteNet: An Efficient and Lightweight Model for Driveable Area and Lane Segmentation in Self-Driving Cars arXiv:2307.10705