Research map / Detection and segmentation / CNN features
PolyWorld: Polygonal Building Extraction With Graph Neural Networks in Satellite Images
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| add vertex position refinement offsets learned with the refinement losses (ablation) | PolyWorld · CrowdAI test | AP: 58.7 -> 63.3 | Helped |
| add vertex position refinement offsets learned with the refinement losses (ablation) | PolyWorld · CrowdAI test | IoU: 89.9 -> 91.3 | Helped |
| combine clockwise and counterclockwise connection scores (ablation) | PolyWorld · CrowdAI test | AP: 62.1 -> 63.3; 60.3 -> 63.3 | Helped |
| combine clockwise and counterclockwise connection scores (ablation) | PolyWorld · CrowdAI test | IoU: 90.9 -> 91.3; 88.4 -> 91.3 | Helped |
| add the attentional GNN for global descriptor aggregation and vertex refinement (ablation) | PolyWorld · CrowdAI test | AP: 56.8 -> 58.7 | Helped |
| add the angle loss for learning vertex offsets (ablation) | PolyWorld · CrowdAI test | MTA: 34.0° -> 32.9° | Helped |
| add the angle loss for learning vertex offsets (ablation) | PolyWorld · CrowdAI test | AP: 63.6 -> 63.3 | Mixed |
Closest papers by meaning
- Joint Semantic-geometric Learning for Polygonal Building Segmentation (AAAI 2021 · similarity 0.89)
- Polygonal Building Extraction by Frame Field Learning (CVPR 2021 · similarity 0.88)
- VisDiff: SDF-Guided Polygon Generation for Visibility Reconstruction, Characterization and Recognition (NeurIPS 2025 · similarity 0.84)
- PolyhedronNet: Representation Learning for Polyhedra with Surface-attributed Graph (ICLR 2025 · similarity 0.83)
- Poly2Vec: Polymorphic Fourier-Based Encoding of Geospatial Objects for GeoAI Applications (ICML 2025 · similarity 0.81)
- PolarNeXt: Rethink Instance Segmentation with Polar Representation (CVPR 2025 · similarity 0.80)
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