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CKConv: Learning Feature Voxelization for Point Cloud Analysis [article]

Sungmin Woo, Dogyoon Lee, Junhyeop Lee, Sangwon Hwang, Woojin Kim, Sangyoun Lee
2021 arXiv   pre-print
By learning feature voxelization with LSA, CKConv can extract enriched features for effective point cloud analysis.  ...  In this paper, we present Cubic Kernel Convolution (CKConv) that learns to voxelize the features of local points by exploiting both continuous and discrete convolutions.  ...  Thus, our cubic representation would be more desirable for point cloud analysis that focuses on learning spatial distribution of points.  ... 
arXiv:2107.12655v1 fatcat:ctcdhjn3lnhlbmdw3cd6s63pfi