Standard convolution is inherently limited for semantic segmentation of point cloud due to its isotropy about features. It neglects the structure of an object, results in poor object delineation and small spurious regions in the segmentation result. This paper proposes a novel graph attention ...
Graph Attention Convolution for Point Cloud Semantic Segmentation Lei Wang1, Yuchun Huang1∗, Yaolin Hou1, Shenman Zhang1, Jie Shan2∗ 1Wuhan University, China 2Purdue University, USA {wlei, hycwhu, houyaolin, smzhang}@whu.edu.cn, jshan@purdue.edu Abstract Standa...
CVPR#4649CVPR2019Submission#4649.CONFIDENTIALREVIEWCOPY.DONOTDISTRIBUTE.GraphAttentionConvolutionforPointCloudSegmentationAnonymousCVPRsubmissionPaperID4649AbstractStandardconvolutionisinherentlylimitedforsemanticpointcloudsegmentationduetoitsisotropyaboutfeatures.Itneglectsthestructureofanobject,andresultsinpoorobjectdelineation...
Pytorch implementation of 'Graph Attention Convolution for Point Cloud Segmentation' - Kamran-nust/GACNet
but maybe a metric-preserving embedding could be used as an implicit point cloud for an arbitrary...
【论文解读 EMNLP 2019 | MOGANED】ED with Multi-Order Graph Convolution and Aggregated Attention,程序员大本营,技术文章内容聚合第一站。
Extensive experiments as well as theoretical analysis demonstrate this pipeline significantly outperforms previous methods in network performance for 3D point cloud upsampling, to obtain more efficient inference with much fewer parameters. 展开 关键词: Point cloud upsampling Graph attention convolution Feature...
GCNs have been used for various applications, including image classification, object detection, and semantic segmentation. Graph Attention Networks (GATs): GATs use attention mechanisms to assign different weights to edges in the graph. The weights are learned based on the importance of the ...
PIXOR: Real-time 3D Object Detection from Point Clouds MSGCNN: MULTI-SCALE GRAPH CONVOLUTIONAL NEURAL NETWORK FOR POINTCLOUD SEGMENTATION LIFTPOOL: BIDIRECTIONAL CONVNET POOLING DyCo3D: Robust Instance Segmentation of 3D Point Clouds through Dynamic Convolution ...
Linguistically-Informed Self-Attention for Semantic Role Labeling Emma Strubell, Patrick Verga, Daniel Andor, David Weiss, Andrew McCallum EMNLP 2018 Graph Convolution over Pruned Dependency Trees Improves Relation Extraction Yuhao Zhang, Peng Qi, Christopher D. Manning ...