Attention-Boosted PointNet++ Strips Vegetation from Mountain LiDAR to Build Sharper Terrain Maps
An enhanced PointNet++ with attention mechanisms and model scaling reaches up to 96.26 percent accuracy in separating ground from vegetation ...
An enhanced PointNet++ with attention mechanisms and model scaling reaches up to 96.26 percent accuracy in separating ground from vegetation ...
Researchers developed EntQA, a reference-free, entity-centric metric that scores how faithfully large language models preserve clinically relevant concepts in medical ...
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© 2025 Scienmag - Science Magazine