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Found 3 papers, 1 papers with code
Foundation Model assisted Weakly Supervised LiDAR Semantic Segmentation
Furthermore, to mitigate the influence of erroneous pseudo labels obtained from sparse annotations on point cloud features, we propose a multi-modal weakly supervised network for LiDAR semantic segmentation, called MM-ScatterNet.
Hierarchical Point-based Active Learning for Semi-supervised Point Cloud Semantic Segmentation
The most recent methods of this kind measure the uncertainty of each pre-divided region for manual labelling but they suffer from redundant information and require additional efforts for region division.
GenReg: Deep Generative Method for Fast Point Cloud Registration
To solve this challenge, we propose a new data-driven registration algorithm by investigating deep generative neural networks to point cloud registration.
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