Yong Li
Guangxi University
21 Papers
Yong Li is an academic researcher from Guangxi University. The author has contributed to research in topics: Computer science & Point cloud. The author has an hindex of 1, co-authored 2 publications.
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Papers
Key technologies of machine vision for weeding robots: A review and benchmark
TL;DR: In this article , a review of machine-vision-based weeding robots is presented, which provides an understanding of innovative trends in the use of machine vision in weeding systems and references for future research.
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ISSD: Improved SSD for Insulator and Spacer Online Detection Based on UAV System.
TL;DR: This work proposes an improved SSD (single shot multibox detector) insulator and spacer detection algorithm using the power inspection images collected by a UAV, which has the advantages of small model size and fast detection speed.
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DenseKPNET: Dense Kernel Point Convolutional Neural Networks for Point Cloud Semantic Segmentation
TL;DR: A novel deep neural network, namely, the Dense connection-based Kernel Point Network (DenseKPNet), which can greatly expand the receptive field of kernel point convolution to extract rich semantic context information and valuable geometric features from the local region effectively.
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WeedNet-R: a sugar beet field weed detection algorithm based on enhanced RetinaNet and context semantic fusion
TL;DR: The proposed WeedNet-R, a vision-based network for weed identification and localization in sugar beet fields, is proposed, which outperforms other sophisticated object detection algorithms in terms of detection accuracy while matching other single-stage detectors in Terms of detection speed.
15
MSIDA-Net: Point Cloud Semantic Segmentation via Multi-Spatial Information and Dual Adaptive Blocks
TL;DR: The multispatial information and dual adaptive (MSIDA) module, which consists of a multisPatial information encoding (MSI) block andDual adaptive (DA) blocks, is proposed, which transforms the information of the relative position of each centre point and its neighbouring points into a cylindrical coordinate system and spherical coordinate system.