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T-UDA: Temporal Unsupervised Domain Adaptation in Sequential Point
  Clouds

T-UDA: Temporal Unsupervised Domain Adaptation in Sequential Point Clouds

15 September 2023
Awet Haileslassie Gebrehiwot
David Hurych
Karel Zimmermann
Patrick Pérez
Tomáš Svoboda
    3DPC
ArXivPDFHTML

Papers citing "T-UDA: Temporal Unsupervised Domain Adaptation in Sequential Point Clouds"

4 / 4 papers shown
Title
3D Can Be Explored In 2D: Pseudo-Label Generation for LiDAR Point Clouds Using Sensor-Intensity-Based 2D Semantic Segmentation
3D Can Be Explored In 2D: Pseudo-Label Generation for LiDAR Point Clouds Using Sensor-Intensity-Based 2D Semantic Segmentation
Andrew Caunes
T. Chateau
Vincent Frémont
3DPC
24
0
0
06 May 2025
2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds
2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds
Xu Yan
Jiantao Gao
Chaoda Zheng
Chao Zheng
Ruimao Zhang
Shenghui Cui
Zhen Li
3DPC
84
213
0
10 Jul 2022
(AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection
  for Sparse Semantic Segmentation Network
(AF)2-S3Net: Attentive Feature Fusion with Adaptive Feature Selection for Sparse Semantic Segmentation Network
Ran Cheng
Ryan Razani
E. Taghavi
Enxu Li
Bingbing Liu
3DPC
153
240
0
08 Feb 2021
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
14,047
0
02 Dec 2016
1