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COLA: COarse-LAbel multi-source LiDAR semantic segmentation for autonomous driving

COLA: COarse-LAbel multi-source LiDAR semantic segmentation for autonomous driving

28 January 2025
Jules Sanchez
Jean-Emmanuel Deschaud
Franccois Goulette
ArXivPDFHTML

Papers citing "COLA: COarse-LAbel multi-source LiDAR semantic segmentation for autonomous driving"

5 / 5 papers shown
Title
Multi-Space Alignments Towards Universal LiDAR Segmentation
Multi-Space Alignments Towards Universal LiDAR Segmentation
You-Chen Liu
Lingdong Kong
Xiaoyang Wu
Runnan Chen
Xin Li
Liang Pan
Ziwei Liu
Yuexin Ma
3DPC
37
16
0
02 May 2024
Simple multi-dataset detection
Simple multi-dataset detection
Xingyi Zhou
V. Koltun
Philipp Krahenbuhl
ObjD
206
110
0
25 Feb 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
128
618
0
21 Jul 2020
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional
  Filters
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters
Yifan Xu
Tianqi Fan
Mingye Xu
Long Zeng
Yu Qiao
3DV
3DPC
142
760
0
30 Mar 2018
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
234
11,568
0
09 Mar 2017
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