Lidar scene completion boosted by semantic labels and visibility info

Researchers have identified simple methods to enhance Lidar semantic scene completion performance without altering model architecture. By incorporating semantic pseudo-labels from existing segmentors, models achieve significant improvements in mean Intersection over Union (mIoU). Further gains are realized by adding visibility information to distinguish between empty and unknown spaces in lidar scans. These straightforward enhancements allow older models to remain competitive with, and even surpass, current state-of-the-art systems. AI

IMPACT Simple enhancements to Lidar scene completion models could improve performance and competitiveness.

RANK_REASON This is a research paper detailing new methods for improving Lidar semantic scene completion. [lever_c_demoted from research: ic=1 ai=1.0]

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• Lidar
• Tetiana Martyniuk

• paper
• other

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