2.2 Transformer for visionPCT借鉴了ViT中的局部补丁结构和单词的基本语义信息,提出了一个临近嵌入模块,该模块可以聚合来自点的局部邻域的特征,从而捕获局部信息并获得语义信息。2.3 Point-based deep learning一些方法也采用attention和transformer。PointASNL利用一种自注意机制来更新局部点组的特征,用以处理点云中的噪声...
point cloud processingTransformeThe irregular domain and lack of ordering make it challenging to design deep neural networks for point cloud processing. This paper presents a novel framework named Point Cloud Transformer (PCT) for point cloud learning. PCT is based on Transformer, which achieves ...
The irregular domain and lack of ordering make it challenging to design deep neural networks for point cloud processing. This paper presents a novel framework named Point Cloud Transformer (PCT) for point cloud learning. PCT is based on Transformer, which achieves huge success in natural language ...
The irregular domain and lack of ordering make it challenging to design deep neural networks for point cloud processing. This paper presents a novel framework named Point Cloud Transformer (PCT) for point cloud learning. PCT is based on Transformer, which achieves huge success in natural language ...
面对无序且不规则的点云数据，设计深度神经网络的挑战。提出Point Cloud Transformer（PCT），基于Transformer架构，适用于点云学习。通过增强输入嵌入与自定义注意力机制，提升局部环境捕获能力。实验结果显示，PCT在形状分类、零件分割、语义分割及一般估计任务中表现优异。1.介绍 点云数据的无序性与不规则性...
评价 PCT 要结合 Point Transformer(PT) 一起看，两篇是同期工作，都是将 Transformer 推广到点云上，...
1）问题 将EdgeConv集成到基础版本的PointNet, 未使用任何特征转换.主要贡献 1、提出点云学习的新操作...
PCT: Point Cloud Transformer Abstract 点云数据的不规则和无序性是的用神经网络处理变得很困难。PCT是基于Transformer。 为了更好的获得点云局部的联系,采用了最远点采样和最邻近搜索。 Introduction Transformer是一个编码器-解码器结构,包含了三个主要的模块:输入嵌入、位置编码、自注意。自注意模块是核心模块,用于...
The irregular domain and lack of ordering make it challenging to design deep neural networks for point cloud processing. This paper presents a novel framework named Point Cloud Transformer (PCT) for point cloud learning. PCT is based on Transformer, which achieves huge success in natural language ...
PCT 在形状分类,part分割和法向量估算任务上表现SOTA!性能优于PointASNL、RS-CNN等网络。 昨天CVer刚推过一篇用于点云任务Transformer工作: 牛津大学等提出:Point Transformer,今天又双叒看见一篇:《PCT: Po…