sim2real.world · gap index · about · arXiv:2611.03936
Geometric Refinement and Distributional Alignment for Sim2Real Roadside LiDAR Detection
- task
- Sim2Real roadside LiDAR detection
- hardware
- not stated
- simulator
- not stated
- transfer
- zero-shot
- sim result
- 0.9126
- real result
- 0.1333
The paper does not report a comparable success rate on both sides, so the gap cannot be computed.
What the paper says
Our final entry scores 0.4793 combined, from a detection mAP of 0.1333 and a realism score of 0.9126.
Our final entry scores 0.4793 combined, from a detection mAP of 0.1333 and a realism score of 0.9126.
What it does not report
- detection mAP on synthetic validation data
- per-class AP for all seven classes on hidden real frames
- individual Chamfer, MMD, EMD, and FPD scores for the submitted synthetic point clouds
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