MAELi: Masked Autoencoder for Large-Scale LiDAR Point Clouds

MAELi: Masked Autoencoder for Large-Scale LiDAR Point Clouds

14 December 2022

Christian Fruhwirth-Reisinger

Horst Possegger

Papers citing "MAELi: Masked Autoencoder for Large-Scale LiDAR Point Clouds"

9 / 9 papers shown

Title
Sense Less, Generate More: Pre-training LiDAR Perception with Masked Autoencoders for Ultra-Efficient 3D Sensing Sina Tayebati Theja Tulabandhula A. R. Trivedi 28 5 0 12 Jun 2024
Masked Scene Contrast: A Scalable Framework for Unsupervised 3D Representation Learning Xiaoyang Wu Xin Wen Xihui Liu Hengshuang Zhao 3DPC 112 40 0 24 Mar 2023
MV-JAR: Masked Voxel Jigsaw and Reconstruction for LiDAR-Based Self-Supervised Pre-Training Runsen Xu Tai Wang Wenwei Zhang Runjian Chen Jinkun Cao Jiangmiao Pang Dahua Lin 3DPC 29 28 0 23 Mar 2023
PiMAE: Point Cloud and Image Interactive Masked Autoencoders for 3D Object Detection Anthony Chen Kevin Zhang Renrui Zhang Zihan Wang Yuheng Lu Yandong Guo Shanghang Zhang 3DPC 67 59 0 14 Mar 2023
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training Renrui Zhang Ziyu Guo Rongyao Fang Bingyan Zhao Dong Wang Yu Qiao Hongsheng Li Peng Gao 3DPC 169 241 0 28 May 2022
Masked Autoencoders Are Scalable Vision Learners Kaiming He Xinlei Chen Saining Xie Yanghao Li Piotr Dollár Ross B. Girshick ViT TPM 258 7,337 0 11 Nov 2021
Self-Supervised Pretraining of 3D Features on any Point-Cloud Zaiwei Zhang Rohit Girdhar Armand Joulin Ishan Misra 3DPC 120 267 0 07 Jan 2021
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding Saining Xie Jiatao Gu Demi Guo C. Qi Leonidas J. Guibas Or Litany 3DPC 136 618 0 21 Jul 2020
A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay L. Smith 191 1,007 0 26 Mar 2018