SnapshotNet: Self-supervised Feature Learning for Point Cloud Data Segmentation Using Minimal Labeled Data

13 January 2022

Papers citing "SnapshotNet: Self-supervised Feature Learning for Point Cloud Data Segmentation Using Minimal Labeled Data"

4 / 4 papers shown

Title
Dual Adaptive Transformations for Weakly Supervised Point Cloud Segmentation Zhonghua Wu Yicheng Wu Guosheng Lin Jianfei Cai Chen Qian 3DPC 20 23 0 19 Jul 2022
Enhancing Local Geometry Learning for 3D Point Cloud via Decoupling Convolution H. Xiu Xin Liu Weimin Wang Kyoung-Sook Kim T. Shinohara Qiong Chang M. Matsuoka 3DPC 14 0 0 04 Jul 2022
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding Saining Xie Jiatao Gu Demi Guo C. Qi Leonidas J. Guibas Or Litany 3DPC 139 620 0 21 Jul 2020
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 219 14,047 0 02 Dec 2016