LSV-MAE: A Masked-Autoencoder Pre-Training Approach for Large-Scale 3D Point Cloud Data

LSV-MAE: A Masked-Autoencoder Pre-Training Approach for Large-Scale 3D Point Cloud Data

Masked language modeling (MLM) and masked image modeling (MIM) pretraining paradigms have achieved remarkable success in both natural language processing (NLP) and computer vision (CV). However, extending MIM to large-scale outdoor point cloud data presents significant challenges due to the inherent...

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Bibliographic Details
Main Authors: Nuo Cheng, Chuanyu Luo, Han Li, Sikun Ma, Shengguang Lei, Pu Li
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Pre-training
autonomous driving
point cloud
transformer
KITTI
nuScenes
Online Access:https://ieeexplore.ieee.org/document/11105382/
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https://ieeexplore.ieee.org/document/11105382/

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