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 15, 2024 · Equipped with a proposed lightweight geometric affine module, PointMLP delivers the new state-of-the-art on multiple datasets. On the real-world ScanObjectNN dataset, our method even surpasses the prior best method by 3.3 performance without any sophisticated operations, hence leading to a superior inference speed.
GitHub - 2362846322/pointMLP-pytorch
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 … Webcd classification_ModelNet40 # train pointMLP python main.py --model pointMLP # train pointMLP-elite python main.py --model pointMLPElite # please add other paramemters … mbt shoes clearance mens
Rethinking Network Design and Local Geometry in Point Cloud: A …
WebJan 28, 2024 · We emphasize PointMLP achieves this strong performance without any sophisticated operations, hence leading to a prominent inference speed. Compared to … 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 ... WebMar 24, 2024 · 尽管PointMLP的框架简洁,但它具有一些显著的优点。1)由于PointMLP仅利用MLP,因此它自然地不受置换的影响,这完美地符合点云的特性。2)通过引入残差 … mbt shoes for women ebay