An Enhanced Downsampling Transformer Network for Point Cloud Semantic Segmentation

Author:

Wang Yang,Wei Zixuan,Wan Zhibo

Publisher

Springer Nature Singapore

Reference15 articles.

1. Zheng, Y., Li, Y., Yang, S., Lu, H.: Global-PBNet: a novel point cloud registration for autonomous driving. IEEE Trans. Intell. Transp. Syst. 23(11), 22312–22319 (2022)

2. Li, Y., Cai, J., Zhou, Q., Lu, H.: Joint semantic-instance segmentation method for intelligent transportation system. IEEE Trans. Intell. Transp. Syst. (2022)

3. Qi, C.R., Su, H., Mo, K., Guibas, L.J.: PointNet: deep learning on point sets for 3d classification and segmentation. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 652–660 (2017)

4. Qi, C.R., Yi, L., Su, H., Guibas, L.J.: PointNet++: deep hierarchical feature learning on point sets in a metric space. In: Advances in Neural Information Processing Systems, vol. 30 (2017)

5. Qian, G., et al.: PointNeXt: revisiting pointNet++ with improved training and scaling strategies. In: Advances in Neural Information Processing Systems vol. 35, pp. 23192–23204 (2022)

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