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A Keypoint-Based Global Association Network for Lane Detection
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use global keypoint-to-lane-start association instead of point-by-point association | GANet · CULane test | F1 | Helped |
| Use global keypoint-to-lane-start association instead of point-by-point association | GANet · TuSimple test | F1 | Helped |
| Add LFA (ablation) | GANet-S · CULane test | F1: 77.84 -> 78.30 | Helped |
| Add auxiliary loss to LFA (ablation) | GANet-S with LFA · CULane test | F1: 78.30 -> 78.79 | Helped |
| Increase model capacity from GANet-S to GANet-L | GANet · TuSimple test | F1: 97.71 -> 97.45 | Hurt |
Closest papers by meaning
- Sketch and Refine: Towards Fast and Accurate Lane Detection (AAAI 2024 · similarity 0.91)
- GEONet: Global Enhancement and Optimization Network for Lane Detection (AAAI 2025 · similarity 0.91)
- GLane3D: Detecting Lanes with Graph of 3D Keypoints (CVPR 2025 · similarity 0.91)
- A Hybrid Global-Local Perception Network for Lane Detection (AAAI 2024 · similarity 0.89)
- GSENet:Global Semantic Enhancement Network for Lane Detection (AAAI 2024 · similarity 0.89)
- LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving (ICLR 2024 · similarity 0.88)
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