Multi-view Network with Transformer for Point Cloud Semantic Segmentation

Author:

Hua Zhongwei1,Du Daming2

Affiliation:

1. Applied Technology College of Soochow University, China

2. Fudan University, China

Publisher

ACM

Reference12 articles.

1. Qi C R , Su H , Mo K , Pointnet : Deep learning on point sets for 3d classification and segmentation[C]//Proceedings of the IEEE conference on computer vision and pattern recognition. 2017 : 652-660. Qi C R, Su H, Mo K, Pointnet: Deep learning on point sets for 3d classification and segmentation[C]//Proceedings of the IEEE conference on computer vision and pattern recognition. 2017: 652-660.

2. Qi C R , Yi L , Su H , PointNet ++ : Deep Hierarchical Feature Learning on Point Sets in a Metric Space[J]. arXiv preprint arXiv:1706.02413 , 2017 . Qi C R, Yi L, Su H, PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space[J]. arXiv preprint arXiv:1706.02413, 2017.

3. A Survey[J];Guo Y;IEEE Transactions on Pattern Analysis and Machine Intelligence

4. Hu J Shen L Sun G. Squeeze-and-excitation networks[C]//Proceedings of the IEEE conference on computer vision and pattern recognition. 2018: 7132-7141. Hu J Shen L Sun G. Squeeze-and-excitation networks[C]//Proceedings of the IEEE conference on computer vision and pattern recognition. 2018: 7132-7141.

5. Cao Y , Xu J , Lin S , Gcnet : Non-local networks meet squeeze-excitation networks and beyond[C]//Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops . 2019 Cao Y, Xu J, Lin S, Gcnet: Non-local networks meet squeeze-excitation networks and beyond[C]//Proceedings of the IEEE/CVF International Conference on Computer Vision Workshops. 2019

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