Author:
Wang Haosen,Zhou Yuan,Chen Tiankai,Qian Feng,Ma Yue,Wang Shifeng,Lu Bo
Publisher
Springer Science and Business Media LLC
Subject
Engineering (miscellaneous),Atomic and Molecular Physics, and Optics
Reference15 articles.
1. C. R. Qi, H. Su, K. Su, et al., “Pointnet: Deep learning on point sets for 3D classification and segmentation,” in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2017), pp. 652–660.
2. C. R. Qi, L. Yi, H. Su, et al., “Pointnet++: Deep hierarchical feature learning on point sets in a metric space,” in: Advances in Neural Information Processing Systems, 30, Curran Associates (2017); ISBN: 9781510860964
3. H. Zhao, L. Jiang, J. Jia, et al., “Point transformer,” in: Proceedings of the IEEE/CVF International Conference on Computer Vision (2021), pp. 16259–16268.
4. T. Hackel, N. Savinov, L. Ladicky, et al., Semantic3D.net: A new large-scale point cloud classification benchmark, arXiv: 1704.03847 (2017).
5. J. Behley, M. Garbade, A. Milioto, et al., “SemanticKITTI: A dataset for semantic scene understanding of LiDAR sequences,” in: Proceedings of the IEEE/CVF International Conference on Computer Vision (2019), pp. 9297–9307.
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