3d RandLA-Net - Efficient Semantic Segmentation of Large-Scale Point Clouds 리뷰 원문 : Hu, Qingyong, et al. “Randla-net: Efficient semantic segmentation of large-scale point clouds.” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2020.
3d Point Transformer 리뷰 원문 : Zhao, Hengshuang, et al. “Point transformer.” arXiv preprint arXiv:2012.09164 (2020).
3d KPConv - Flexible and Deformable Convolution for Point Clouds 리뷰 원문 : Thomas, Hugues, et al. “Kpconv: Flexible and deformable convolution for point clouds.” Proceedings of the IEEE/CVF International Conference on Computer Vision. 2019.
3d Large-scale Point Cloud Semantic Segmentation with Superpoint Graphs 리뷰 원문 : Landrieu, Loic, and Martin Simonovsky. “Large-scale point cloud semantic segmentation with superpoint graphs.” Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 2018.
3d Graph Attention Convolution for Point Cloud Semantic Segmentation 리뷰 원문 : Wang, Lei, et al. “Graph attention convolution for point cloud semantic segmentation.” Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2019.