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CPCM: Contextual Point Cloud Modeling for Weakly-supervised Point Cloud
  Semantic Segmentation

CPCM: Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation

19 July 2023
Lizhao Liu
Zhuangwei Zhuang
Shan Huang
Xu Xiao
Tian-Zhu Xiang
Cen Chen
Jingdong Wang
Mingkui Tan
    3DPC
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Papers citing "CPCM: Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation"

16 / 16 papers shown
Title
Label-Efficient LiDAR Panoptic Segmentation
Ahmet Selim Çanakçı
Niclas Vodisch
Kürsat Petek
Wolfram Burgard
Abhinav Valada
3DPC
81
0
0
04 Mar 2025
Distribution Guidance Network for Weakly Supervised Point Cloud Semantic
  Segmentation
Distribution Guidance Network for Weakly Supervised Point Cloud Semantic Segmentation
Zhiyi Pan
Wei-Nan Gao
Shan Liu
Ge Li
25
1
0
10 Oct 2024
PEEKABOO: Hiding parts of an image for unsupervised object localization
PEEKABOO: Hiding parts of an image for unsupervised object localization
Hasib Zunair u
24 A.BenHamza
SSL
36
0
0
24 Jul 2024
MILAN: Milli-Annotations for Lidar Semantic Segmentation
MILAN: Milli-Annotations for Lidar Semantic Segmentation
Nermin Samet
Gilles Puy
Oriane Siméoni
Renaud Marlet
3DPC
32
0
0
22 Jul 2024
Refining Segmentation On-the-Fly: An Interactive Framework for Point
  Cloud Semantic Segmentation
Refining Segmentation On-the-Fly: An Interactive Framework for Point Cloud Semantic Segmentation
Peng-Zhen Zhang
Ting Wu
Jinsheng Sun
Weiqing Li
Zhiyong Su
33
1
0
11 Mar 2024
T-MAE: Temporal Masked Autoencoders for Point Cloud Representation
  Learning
T-MAE: Temporal Masked Autoencoders for Point Cloud Representation Learning
Weijie Wei
F. Karimi Nejadasl
Theo Gevers
Martin R. Oswald
3DPC
25
3
0
15 Dec 2023
Densify Your Labels: Unsupervised Clustering with Bipartite Matching for
  Weakly Supervised Point Cloud Segmentation
Densify Your Labels: Unsupervised Clustering with Bipartite Matching for Weakly Supervised Point Cloud Segmentation
Shaobo Xia
Jun Yue
Kacper Kania
Leyuan Fang
Andrea Tagliasacchi
Kwang Moo Yi
Weiwei Sun
3DPC
19
3
0
11 Dec 2023
Advancements in Point Cloud Data Augmentation for Deep Learning: A
  Survey
Advancements in Point Cloud Data Augmentation for Deep Learning: A Survey
Qinfeng Zhu
Lei Fan
Ningxin Weng
3DPC
21
34
0
23 Aug 2023
A Survey of Label-Efficient Deep Learning for 3D Point Clouds
A Survey of Label-Efficient Deep Learning for 3D Point Clouds
Aoran Xiao
Xiaoqin Zhang
Ling Shao
Shijian Lu
3DPC
38
18
0
31 May 2023
Masked Autoencoders Are Scalable Vision Learners
Masked Autoencoders Are Scalable Vision Learners
Kaiming He
Xinlei Chen
Saining Xie
Yanghao Li
Piotr Dollár
Ross B. Girshick
ViT
TPM
305
7,434
0
11 Nov 2021
Guided Point Contrastive Learning for Semi-supervised Point Cloud
  Semantic Segmentation
Guided Point Contrastive Learning for Semi-supervised Point Cloud Semantic Segmentation
Li Jiang
Shaoshuai Shi
Zhuotao Tian
Xin Lai
Shu-Lin Liu
Chi-Wing Fu
Jiaya Jia
SSL
3DPC
120
115
0
15 Oct 2021
(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
155
241
0
08 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
141
622
0
21 Jul 2020
DensePoint: Learning Densely Contextual Representation for Efficient
  Point Cloud Processing
DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing
Yongcheng Liu
Bin Fan
Gaofeng Meng
Jiwen Lu
Shiming Xiang
Chunhong Pan
3DPC
119
270
0
09 Sep 2019
Mean teachers are better role models: Weight-averaged consistency
  targets improve semi-supervised deep learning results
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
261
1,275
0
06 Mar 2017
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
222
14,099
0
02 Dec 2016
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