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Beyond the Label Itself: Latent Labels Enhance Semi-supervised Point
  Cloud Panoptic Segmentation

Beyond the Label Itself: Latent Labels Enhance Semi-supervised Point Cloud Panoptic Segmentation

13 December 2023
Yujun Chen
Xin Tan
Zhizhong Zhang
Yanyun Qu
Yuan Xie
    3DPC
ArXivPDFHTML

Papers citing "Beyond the Label Itself: Latent Labels Enhance Semi-supervised Point Cloud Panoptic Segmentation"

5 / 5 papers shown
Title
3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation
3DResT: A Strong Baseline for Semi-Supervised 3D Referring Expression Segmentation
Wenxin Chen
Mengxue Qu
Weitai Kang
Yan Yan
Yao Zhao
Yunchao Wei
41
0
0
17 Apr 2025
HiLoTs: High-Low Temporal Sensitive Representation Learning for Semi-Supervised LiDAR Segmentation in Autonomous Driving
HiLoTs: High-Low Temporal Sensitive Representation Learning for Semi-Supervised LiDAR Segmentation in Autonomous Driving
R.D. Lin
Pengcheng Weng
Y. Wang
H. Ding
Jinsong Han
Fei-Yue Wang
3DPC
48
0
0
22 Mar 2025
MOS: Modeling Object-Scene Associations in Generalized Category Discovery
MOS: Modeling Object-Scene Associations in Generalized Category Discovery
Zhengyuan Peng
Jinpeng Ma
Zhimin Sun
Ran Yi
Haichuan Song
Xin Tan
Lizhuang Ma
50
0
0
15 Mar 2025
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
118
115
0
15 Oct 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
222
14,047
0
02 Dec 2016
1