You Only Need One Thing One Click: Self-Training for Weakly Supervised
3D Scene Understanding

You Only Need One Thing One Click: Self-Training for Weakly Supervised 3D Scene Understanding

26 March 2023

Xiaojuan Qi

Papers citing "You Only Need One Thing One Click: Self-Training for Weakly Supervised 3D Scene Understanding"

7 / 7 papers shown

Title
PointMatch: A Consistency Training Framework for Weakly Supervised Semantic Segmentation of 3D Point Clouds Yushuang Wu Zizheng Yan Shengcai Cai Guanbin Li Yizhou Yu Xiaoguang Han Shuguang Cui 3DPC 3DV 31 16 0 22 Feb 2022
Mix3D: Out-of-Context Data Augmentation for 3D Scenes Alexey Nekrasov Jonas Schult Or Litany Bastian Leibe Francis Engelmann 3DPC 142 154 0 05 Oct 2021
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding Saining Xie Jiatao Gu Demi Guo C. Qi Leonidas J. Guibas Or Litany 3DPC 139 621 0 21 Jul 2020
OccuSeg: Occupancy-aware 3D Instance Segmentation Lei Han Tian Zheng Lan Xu Lu Fang 3DPC 150 256 0 14 Mar 2020
Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation Jiwoon Ahn Suha Kwak 213 740 0 28 Mar 2018
Joint 2D-3D-Semantic Data for Indoor Scene Understanding Iro Armeni S. Sax Amir Zamir Silvio Savarese 3DV 3DPC 113 875 0 03 Feb 2017
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas J. Guibas 3DH 3DPC 3DV PINN 222 14,087 0 02 Dec 2016