PointMatch: A consistency training framework for weakly supervised semantic segmentation of 3D point clouds

Yushuang Wu, Zizheng Yan, Shengcai Cai, Guanbin Li, Xiaoguang Han, Shuguang Cui

Type: Article

Publication Date: 2023-09-16

Citations: 18

DOI: https://doi.org/10.1016/j.cag.2023.09.006

View Publication

Download PDF

Locations

arXiv (Cornell University) - View - PDF
Computers & Graphics - View

Similar Works

Action	Title	Year	Authors
+ PDF Chat	SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds	2022	Qingyong Hu Bo Yang Guangchi Fang Yulan Guo Aleš Leonardis Niki Trigoni Andrew Markham
+ PDF Chat	Self-Prediction for Joint Instance and Semantic Segmentation of Point Clouds	2020	Jinxian Liu Minghui Yu Bingbing Ni Ye Chen
+ PDF Chat	PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding	2020	Saining Xie Jiatao Gu Demi Guo Charles R. Qi Leonidas Guibas Or Litany
+ PDF Chat	Reliability-Adaptive Consistency Regularization for Weakly-Supervised Point Cloud Segmentation	2024	Zhonghua Wu Yicheng Wu Guosheng Lin Jianfei Cai
+	SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds	2021	Qingyong Hu Bo Yang Guangchi Fang Yulan Guo Aleš Leonardis Niki Trigoni Andrew Markham
+ PDF Chat	3DFeat-Net: Weakly Supervised Local 3D Features for Point Cloud Registration	2018	Zi Jian Yew Gim Hee Lee
+	Weakly Supervised Semantic Point Cloud Segmentation:Towards 10X Fewer Labels	2020	Xun Xu Gim Hee Lee
+	Reliability-Adaptive Consistency Regularization for Weakly-Supervised Point Cloud Segmentation	2023	Zhonghua Wu Yicheng Wu Guosheng Lin Jianfei Cai
+ PDF Chat	Deep Learning-Based 3D Instance and Semantic Segmentation: A Review	2022	Siddiqui Muhammad Yasir Hyun‐Sik Ahn
+ PDF Chat	A comprehensive overview of deep learning techniques for 3D point cloud classification and semantic segmentation	2024	Sushmita Sarker Prithul Sarker Gunner Stone Ryan Gorman Alireza Tavakkoli George Bebis Javad Sattarvand
+ PDF Chat	Linking Points With Labels in 3D: A Review of Point Cloud Semantic Segmentation	2020	Yuxing Xie Jiaojiao Tian Xiao Xiang Zhu
+ PDF Chat	SegGroup: Seg-Level Supervision for 3D Instance and Semantic Segmentation	2022	Tao An Yueqi Duan Yi Wei Jiwen Lu Jie Zhou
+	Dense Supervision Propagation for Weakly Supervised Semantic Segmentation on 3D Point Clouds	2021	Jiacheng Wei Guosheng Lin Kim–Hui Yap Fayao Liu Tzu-Yi Hung
+	Box2Mask: Weakly Supervised 3D Semantic Instance Segmentation Using Bounding Boxes	2022	Julian Chibane Francis Engelmann Tuan Anh Tran Gerard Pons‐Moll
+	Multi-modality Affinity Inference for Weakly Supervised 3D Semantic Segmentation	2023	Xiawei Li Qingyuan Xu Jing Zhang Tianyi Zhang Qian Yu Lu Sheng Dong Xu
+ PDF Chat	Multi-Modality Affinity Inference for Weakly Supervised 3D Semantic Segmentation	2024	Xiawei Li Qingyuan Xu Jing Zhang Tianyi Zhang Qian Yu Lu Sheng Dong Xu
+	Densify Your Labels: Unsupervised Clustering with Bipartite Matching for Weakly Supervised Point Cloud Segmentation	2023	Shaobo Xia Jun Yue Kacper Kania Leyuan Fang Andrea Tagliasacchi Kwang Moo Yi Weiwei Sun
+	Contrastive Learning for Self-Supervised Pre-Training of Point Cloud Segmentation Networks With Image Data	2023	Andrej Janda Brandon Wagstaff Edwin G. Ng Jonathan W. Kelly
+ PDF Chat	GaPro: Box-Supervised 3D Point Cloud Instance Segmentation Using Gaussian Processes as Pseudo Labelers	2023	Tuan Ngo Binh‐Son Hua Khoi Nguyen
+	GaPro: Box-Supervised 3D Point Cloud Instance Segmentation Using Gaussian Processes as Pseudo Labelers	2023	Tuan Ngo Binh‐Son Hua Khoi Nguyen

Works That Cite This (5)

Action	Title	Year	Authors
+ PDF Chat	SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds	2022	Qingyong Hu Bo Yang Guangchi Fang Yulan Guo Aleš Leonardis Niki Trigoni Andrew Markham
+	Advancements in Point Cloud Data Augmentation for Deep Learning: A Survey	2023	Qinfeng Zhu Lei Fan Ningxin Weng
+ PDF Chat	Advancements in point cloud data augmentation for deep learning: A survey	2024	Qinfeng Zhu Lei Fan Ningxin Weng
+ PDF Chat	PointDC: Unsupervised Semantic Segmentation of 3D Point Clouds via Cross-modal Distillation and Super-Voxel Clustering	2023	Weitao Chen Hongbin Xu Weitao Chen Zhipeng Zhou Haihong Xiao Baigui Sun Xuansong Xie Wenxiong Kang
+ PDF Chat	Reliability-Adaptive Consistency Regularization for Weakly-Supervised Point Cloud Segmentation	2024	Zhonghua Wu Yicheng Wu Guosheng Lin Jianfei Cai

Works Cited by This (37)

Action	Title	Year	Authors
+ PDF Chat	Learning Deep Features for Discriminative Localization	2016	Bolei Zhou Aditya Khosla Àgata Lapedriza Aude Oliva Antonio Torralba
+ PDF Chat	ScanNet: Richly-Annotated 3D Reconstructions of Indoor Scenes	2017	Angela Dai Anne Lynn S. Chang Manolis Savva Maciej Halber Thomas Funkhouser Matthias Nießner
+ PDF Chat	SPLATNet: Sparse Lattice Networks for Point Cloud Processing	2018	Hang Su Varun Jampani Deqing Sun Subhransu Maji Evangelos Kalogerakis Ming–Hsuan Yang Jan Kautz
+ PDF Chat	Tangent Convolutions for Dense Prediction in 3D	2018	Maxim Tatarchenko Jaesik Park Vladlen Koltun Qian-Yi Zhou
+	Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results	2017	Antti Tarvainen Harri Valpola
+ PDF Chat	VoxSegNet: Volumetric CNNs for Semantic Part Segmentation of 3D Shapes	2019	Zongji Wang Feng Lu
+	PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space	2017	Charles R. Qi Yi Li Hao Su Leonidas Guibas
+ PDF Chat	4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks	2019	Christopher Choy JunYoung Gwak Silvio Savarese
+ PDF Chat	3D Semantic Segmentation with Submanifold Sparse Convolutional Networks	2018	Benjamin Graham Martin Engelcke Laurens van der Maaten
+ PDF Chat	PointConv: Deep Convolutional Networks on 3D Point Clouds	2019	Wenxuan Wu Zhongang Qi Fuxin Li