The following publications are possibly variants of this publication:
- IPCONV: Convolution with Multiple Different Kernels for Point Cloud Semantic SegmentationRuixiang Zhang, Siyang Chen, Xuying Wang, Yunsheng Zhang. remotesensing, 15(21):5136, November 2023. [doi]
- DenseKPNET: Dense Kernel Point Convolutional Neural Networks for Point Cloud Semantic SegmentationYong Li, Xu Li, Zhenxin Zhang, Feng Shuang, Qi Lin, Jincheng Jiang. tgrs, 60:1-13, 2022. [doi]
- Attention-Based Multi-Scale Graph Convolution for Point Cloud Semantic SegmentationPerpetual Hope Akwensi, Ruisheng Wang. igarss 2022: 7515-7518 [doi]
- Graph Attention Convolution for Point Cloud Semantic SegmentationLei Wang, Yuchun Huang, Yaolin Hou, Shenman Zhang, Jie Shan. cvpr 2018: 10296-10305 [doi]
- Point-based Attention Convolutional Neural Networks for Point Clouds Semantic SegmentationYing Li, Qing Li. eitce 2022: 1642-1647 [doi]
- Spatial Aggregation Net: Point Cloud Semantic Segmentation Based on Multi-Directional ConvolutionGuorong Cai, Zuning Jiang, Zongyue Wang, Shangfeng Huang, Kai Chen, Xuyang Ge, Yundong Wu. sensors, 19(19):4329, 2019. [doi]
- MLFNet- Point Cloud Semantic Segmentation Convolution Network Based on Multi-Scale Feature FusionJingfang Yang, Bochang Zou, Huadong Qiu, Zhi Li. access, 9:44950-44962, 2021. [doi]
- Semantic Segmentation of Point Cloud With Novel Neural Radiation Field ConvolutionWei Li, Lixin Zhan, Weidong Min, Yi Zou, Zheng Huang, Chenglu Wen. lgrs, 20:1-5, 2023. [doi]