HIGHLIGHTS
- who: Chunyuan Deng et al. from the School of Electronic Engineering and Automation, Guilin University of Electronic Technology, Guilin, China have published the research work: Point Cloud Deep Learning Network Based on Balanced Sampling and Hybrid Pooling, in the Journal: Sensors 2023, 23, 981. of /2023/
- what: To address this problem in this study the authors designed a weighted method based on farthest point (FPS) which adjusts the weight value according to the loss value of the model to equalize the process. Due to the disorder, nonuniformity, and irregularity of point cloud data, semantic segmentation . . .
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