Yuchen Li
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Point Cloud
Exploring Scaling Laws of PointNets
This work investigates scaling laws for PointNets and studies how improved training and scaling strategies affect 3D point-cloud understanding.
PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies
PointNet++ is one of the most influential neural architectures for point cloud understanding. Although its accuracy has been surpassed by recent networks such as PointMLP and Point Transformer, we find that much of the performance gain comes from …
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