PointMCD: Boosting Deep Point Cloud Encoders via Multi-view Cross-modal Distillation for 3D Shape Recognition. (arXiv:2207.03128v2 [cs.CV] UPDATED)

As two fundamental representation modalities of 3D objects, 3D point clouds
and multi-view 2D images record shape information from different domains of
geometric structures and visual appearances. In the current deep learning era,
remarkable progress in processing such two data modalities has been achieved
through respectively customizing compatible 3D and 2D network architectures.
However, unlike multi-view image-based 2D visual modeling paradigms, which have
shown leading performance in several common 3D shape recognition benchmarks,
point cloud-based 3D geometric modeling paradigms are …

3d arxiv boosting cloud cv distillation