Research map / Detection and segmentation / Open-set and few-shot detection
HD Maps: Fine-Grained Road Segmentation by Parsing Ground and Aerial Images
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Add the parallel-road constraint to the road parsing model (ablation) | LaneRoad · Air-Ground-KITTI test | Average IoU: 45.4 -> 48.6 | Helped |
| Add along-road smoothness to the model without the parallel-road constraint (ablation) | Lane · Air-Ground-KITTI test | Average IoU: 43.6 -> 45.4 | Helped |
| Add the parallel-road constraint to the model without along-road smoothness (ablation) | Lane · Air-Ground-KITTI test | Average IoU: 43.6 -> 44.8 | Helped |
| Add ground-image potentials to LaneRoadParallel (ablation) | LaneRoadParallel · Air-Ground-KITTI test, areas with ground images | Average IoU: 41.9 -> 42.0 | No clear effect |
| Jointly infer ground-to-aerial alignment from ground and aerial evidence | Ground-to-air alignment · Air-Ground-KITTI | Alignment error (m): 1.67 -> 0.57 | Helped |
| Use the parallel-road constraint in fine-grained road parsing (ablation) | LaneRoadParallel · Air-Ground-KITTI test | Road IoU: 61.9 -> 68.0 | Helped |
Closest papers by meaning
- RoadGIE: Towards A Global-Scale Aerial Benchmark for Generalizable Interactive Road Extraction (CVPR 2026 · similarity 0.87)
- RoadTracer: Automatic Extraction of Road Networks From Aerial Images (CVPR 2018 · similarity 0.87)
- Unveiling the Hidden: Online Vectorized HD Map Construction with Clip-Level Token Interaction and Propagation (NeurIPS 2024 · similarity 0.85)
- Patched Line Segment Learning for Vector Road Mapping (AAAI 2024 · similarity 0.85)
- Sketch and Refine: Towards Fast and Accurate Lane Detection (AAAI 2024 · similarity 0.84)
- OpenSatMap: A Fine-grained High-resolution Satellite Dataset for Large-scale Map Construction (NeurIPS 2024 · similarity 0.83)
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