Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference34 articles.
1. PDConv: Rigid transformation invariant convolution for 3D point clouds;Bello;Expert Systems with Applications,2022
2. Charles, R. Qi, Su, Hao, Kaichun, Mo, & Guibas, Leonidas J. (2017). PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation. In 2017 IEEE conference on computer vision and pattern recognition (pp. 77–85).
3. Lightweight attention module for deep learning on classification and segmentation of 3-D point clouds;Cui;IEEE Transactions on Instrumentation and Measurement,2020
4. Feng, Yifan, Zhang, Zizhao, Zhao, Xibin, Ji, Rongrong, & Gao, Yue (2018). Gvcnn: Group-view convolutional neural networks for 3d shape recognition. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 264–272).
5. LFT-net: Local feature transformer network for point clouds analysis;Gao;IEEE Transactions on Intelligent Transportation Systems,2022
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