MortonNet: Self-Supervised Learning of Local Features in 3D Point Clouds

30 March 2019

Papers citing "MortonNet: Self-Supervised Learning of Local Features in 3D Point Clouds"

8 / 8 papers shown

Title
SL3D: Self-supervised-Self-labeled 3D Recognition Fernando Julio Cendra Lan Ma Jiajun Shen Xiaojuan Qi 3DPC 32 3 0 30 Oct 2022
MvDeCor: Multi-view Dense Correspondence Learning for Fine-grained 3D Segmentation Gopal Sharma K. Yin Subhransu Maji E. Kalogerakis Litany Sanja Fidler 3DV 3DPC 24 12 0 18 Aug 2022
Self-Contrastive Learning with Hard Negative Sampling for Self-supervised Point Cloud Learning Bianli Du Xiang Gao Wei Hu Xin Li 3DPC SSL 10 81 0 05 Jul 2021
Label-Efficient Learning on Point Clouds using Approximate Convex Decompositions Matheus Gadelha Aruni RoyChowdhury Gopal Sharma E. Kalogerakis Liangliang Cao Erik Learned-Miller Rui Wang Subhransu Maji 3DPC 26 45 0 30 Mar 2020
Self-Supervised Learning for Domain Adaptation on Point-Clouds Idan Achituve Haggai Maron Gal Chechik 3DPC 35 160 0 29 Mar 2020
Multi-Path Region Mining For Weakly Supervised 3D Semantic Segmentation on Point Clouds Jiacheng Wei Guosheng Lin Kim-Hui Yap Tzu-Yi Hung Lihua Xie 3DPC 23 132 0 29 Mar 2020
Self-supervised Point Set Local Descriptors for Point Cloud Registration Yijun Yuan Jiawei Hou A. Nüchter Sören Schwertfeger 3DPC 17 26 0 11 Mar 2020
Vote3Deep: Fast Object Detection in 3D Point Clouds Using Efficient Convolutional Neural Networks Martin Engelcke Dushyant Rao Dominic Zeng Wang Chi Hay Tong Ingmar Posner 3DPC 192 521 0 21 Sep 2016