Abstract: Highlights•A novel MMI-based method is proposed for improving learning the point cloud representation without additional data augmentation.•The proposed maximizing mutual information (MMI) module can be flexibly applied in various point cloud networks.•A novel MI-based loss function considers both local and global semantic information of hierarchical point cloud features.•Experimental results demonstrate the efficacy and board applicability of our method.
External IDs:dblp:journals/pr/WangTWLY22
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