WebApr 12, 2024 · PointMLP 在多个数据集上大放异彩，刷新了多个数据集的最好成绩。 不仅大幅提高了分类的准确率，还提供了更快的推理速度。 值得注意的是，在 ScanObject NN 上，PointMLP 取得了 85.4% 的分类准确率（该研究给出代码的准确率达到 86.1%），大幅超越第二名的 82.8%。 WebApr 12, 2024 · 总的来说，该研究提出了一种名为 PointMLP 的简单而强大的架构，用于 3D 点云分析。研究者指出复杂的局部几何提取器可能对于 3D 点云而言并不重要。

GitHub - diegovalsesia/HyCoRe: Code for "Rethinking the ...

WebJun 9, 2024 · PointNeXt can be flexibly scaled up and outperforms state-of-the-art methods on both 3D classification and segmentation tasks. For classification, PointNeXt reaches an overall accuracy of 87.7 on ScanObjectNN, surpassing PointMLP by 2.3%, while being 10x faster in inference. For semantic segmentation, PointNeXt establishes a new state-of-the ... WebFeb 24, 2024 · PointMLP：Rethinking Network Design and Local Geometry in Point Cloud： A Simple Residual MLP Framework . ICLR 2024 1. 四个问题 解决什么问题 点云随着CV领域的发展而发展（毕竟点云属于CV领域），先前的工作主要从设计局部特征提取器出发，所用方法有convolution, graph, or attention mechanisms。 cavallino kita

ICLR 2024 纯MLP的点云网络：新架构PointMLP大幅提高点云分 …

WebApr 13, 2024 · PointMLP 在多个数据集上大放异彩，刷新了多个数据集的最好成绩。不仅大幅提高了分类的准确率，还提供了更快的推理速度。值得注意的是，在 ScanObject NN … WebFeb 14, 2024 · For our pointMLP and PointMLP-elite, we train and test for four runs and report mean ± std results. +1 Classification accuracy of pointMLP on ScanObjectNN test set using 24, 40, and 56 layers ... WebThis repository provides the implementation for the PointMLP and DGCNN models, on the ModelNet40 and ScanobjectNN datasets. For DGCNN and PontMLP we use the respective official architecture designs, and keep the original preprocessing and hyperparameters. Notice that applying HyCoRe is straightforward leading to an easy adaptation of the code ... cavalleria rusticana von karajan 1968