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Number-Adaptive Prototype Learning for 3D Point Cloud Semantic
  Segmentation

Number-Adaptive Prototype Learning for 3D Point Cloud Semantic Segmentation

18 October 2022
Yangheng Zhao
Jun Wang
Xiaolong Li
Yue Hu
Ce Zhang
Yanfeng Wang
Siheng Chen
    3DPC
ArXivPDFHTML

Papers citing "Number-Adaptive Prototype Learning for 3D Point Cloud Semantic Segmentation"

5 / 5 papers shown
Title
Interpretable Affordance Detection on 3D Point Clouds with Probabilistic Prototypes
Interpretable Affordance Detection on 3D Point Clouds with Probabilistic Prototypes
M. Li
Korbinian Franz Rudolf
Nils Blank
Rudolf Lioutikov
3DPC
41
0
0
25 Apr 2025
Deep Learning on 3D Semantic Segmentation: A Detailed Review
Deep Learning on 3D Semantic Segmentation: A Detailed Review
Thodoris Betsas
Andreas Georgopoulos
Anastasios Doulamis
Pierre Grussenmeyer
3DV
3DPC
44
1
0
04 Nov 2024
A Quality Index Metric and Method for Online Self-Assessment of
  Autonomous Vehicles Sensory Perception
A Quality Index Metric and Method for Online Self-Assessment of Autonomous Vehicles Sensory Perception
Ce Zhang
A. Eskandarian
21
8
0
04 Mar 2022
3D Point Cloud Processing and Learning for Autonomous Driving
3D Point Cloud Processing and Learning for Autonomous Driving
Siheng Chen
Baoan Liu
Chen Feng
Carlos Vallespi-Gonzalez
Carl K. Wellington
3DPC
56
164
0
01 Mar 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
222
14,109
0
02 Dec 2016
1