Tackling background ambiguities in multi-class few-shot point cloud semantic segmentation

Author:

Lai Lvlong,Chen JianORCID,Zhang Chi,Zhang Zehong,Lin GuoshengORCID,Wu Qingyao

Publisher

Elsevier BV

Subject

Artificial Intelligence,Information Systems and Management,Management Information Systems,Software

Reference43 articles.

1. C.R. Qi, H. Su, K. Mo, L.J. Guibas, 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. Pointnet++: Deep hierarchical feature learning on point sets in a metric space;Qi,2017

3. B. Graham, M. Engelcke, L. Van Der Maaten, 3d semantic segmentation with submanifold sparse convolutional networks, in: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2018, pp. 9224–9232.

4. Dynamic graph cnn for learning on point clouds;Wang;ACM Trans. Graph. (TOG),2019

5. H. Thomas, C.R. Qi, J.-E. Deschaud, B. Marcotegui, F. Goulette, L.J. Guibas, Kpconv: Flexible and deformable convolution for point clouds, in: Proceedings of the IEEE/CVF International Conference on Computer Vision, 2019, pp. 6411–6420.

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