Existing point cloud semantic segmentation approaches do not perform well on details. especially for the boundary regions. However. supervised-learning-based methods depend on costly artificial annotations for performance improvement. https://www.maximilianopellegrini.com/product-category/cretors-products/
Mixed Feature Prediction on Boundary Learning for Point Cloud Semantic Segmentation
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