Abstract: Despite remarkable performance across a broad range of tasks, neural networks have been shown to be vulnerable to adversarial attacks. Many works focus on adversarial attacks and defenses on ...

Stacked PFE architecture just as PointNet++ Pyramid PFE architecture Assume the first point feature encoder is deep enough. Use pyramid pooling to get multi-scale features. Unlike PointNet++ where ...

Abstract: PointNet, which is the widely used point-wise embedding method and known as a universal approximator for continuous set functions, can process one million points per second. Nevertheless, ...

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此仓库是使用 PyTorch 对 PointNet 和 PointNet++ 的实现。 PointNet（官方） 89.2 PointNet2（官方） 91.9 PointNet（无法线的 PyTorch 实现） 90.6 PointNet（有法线的 PyTorch 实现） 91.4 PointNet2_SSG（无法线的 PyTorch 实现） 92.2 PointNet2_SSG（有法线的 ...

Several computer vision tasks require perceiving or interacting with 3D environments and objects therein, making a strong case in favor of 3D deep learning. However, unlike images which are most ...

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Performance of current 3D point based detectors is limited by the number of points they can process, consequently limiting their accuracy. In this paper we propose a novel architecture coined as ...