Self-Supervised Deep Learning on Point Clouds by Reconstructing Space

24 January 2019

Papers citing "Self-Supervised Deep Learning on Point Clouds by Reconstructing Space"

10 / 10 papers shown

Title
Point-JEPA: A Joint Embedding Predictive Architecture for Self-Supervised Learning on Point Cloud Ayumu Saito Prachi Kudeshia Jiju Poovvancheri 3DPC 37 7 0 25 Apr 2024
Weakly-Supervised Semantic Segmentation of Ships Using Thermal Imagery Rushil Joshi Ethan R. Adams Matthew R. Ziemann Christopher A. Metzler 28 1 0 26 Dec 2022
SnapshotNet: Self-supervised Feature Learning for Point Cloud Data Segmentation Using Minimal Labeled Data Xingye Li Ling Zhang Zhigang Zhu 3DPC 20 10 0 13 Jan 2022
MaskNet: A Fully-Convolutional Network to Estimate Inlier Points Vinit Sarode Animesh Dhagat Rangaprasad Arun Srivatsan N. Zevallos Simon Lucey Howie Choset 3DPC 46 29 0 19 Oct 2020
Info3D: Representation Learning on 3D Objects using Mutual Information Maximization and Contrastive Learning Aditya Sanghi 3DPC SSL 11 101 0 04 Jun 2020
Deep Learning for LiDAR Point Clouds in Autonomous Driving: A Review Ying Li Lingfei Ma Zilong Zhong Fei Liu Dongpu Cao Jonathan Li M. Chapman 3DPC 36 390 0 20 May 2020
A review on deep learning techniques for 3D sensed data classification David J. Griffiths Jan Boehm 3DPC 3DV 25 165 0 09 Jul 2019
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
Geometric deep learning: going beyond Euclidean data M. Bronstein Joan Bruna Yann LeCun Arthur Szlam P. Vandergheynst GNN 250 3,236 0 24 Nov 2016
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial Modeling Jiajun Wu Chengkai Zhang Tianfan Xue Bill Freeman J. Tenenbaum GAN 171 1,940 0 24 Oct 2016