most citedMulti-scale Receptive Fields Graph Attention Network for Point Cloud Classification

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cs.CV2024

EMBANet: A Flexible Efffcient Multi-branch Attention Network

Keke Zu, Hu Zhang, Jian Lu +2

This work presents a novel module, namely multi-branch concat (MBC), to process the input tensor and obtain the multi-scale feature map. The proposed MBC module brings new degrees…

cs.CV2020★ 1 cited

Multi-scale Receptive Fields Graph Attention Network for Point Cloud Classification

Xi-An Li, Lei Zhang, Li-Yan Wang +1

Understanding the implication of point cloud is still challenging to achieve the goal of classification or segmentation due to the irregular and sparse structure of point cloud. As…