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SLiDE: Self-supervised LiDAR De-snowing through Reconstruction
  Difficulty

SLiDE: Self-supervised LiDAR De-snowing through Reconstruction Difficulty

8 August 2022
Gwangtak Bae
Byungjun Kim
Seongyong Ahn
Jihong Min
Inwook Shim
    3DPC
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Papers citing "SLiDE: Self-supervised LiDAR De-snowing through Reconstruction Difficulty"

3 / 3 papers shown
Title
Lidar Light Scattering Augmentation (LISA): Physics-based Simulation of
  Adverse Weather Conditions for 3D Object Detection
Lidar Light Scattering Augmentation (LISA): Physics-based Simulation of Adverse Weather Conditions for 3D Object Detection
Velat Kilic
Deepti Hegde
Vishwanath A. Sindagi
A. Cooper
M. Foster
Vishal M. Patel
129
67
0
14 Jul 2021
PointContrast: Unsupervised Pre-training for 3D Point Cloud
  Understanding
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
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
219
13,886
0
02 Dec 2016
1