SynLiDAR
Introduced by Xiao et al. in Transfer Learning from Synthetic to Real LiDAR Point Cloud for Semantic Segmentation
SynLiDAR is a large-scale synthetic LiDAR sequential point cloud dataset with point-wise annotations. 13 sequences of LiDAR point cloud with around 20k scans (over 19 billion points and 32 semantic classes) are collected from virtual urban cities, suburban towns, neighborhood, and harbor.
Benchmarks
| Trend | Task | Dataset Variant | Best Model | Paper | Code |
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SynLiDAR-to-SemanticKITTI
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CosMix
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Papers
| Paper | Code | Results | Date | Stars |
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