ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2311.02608
  4. Cited By
Deep Learning-based 3D Point Cloud Classification: A Systematic Survey
  and Outlook

Deep Learning-based 3D Point Cloud Classification: A Systematic Survey and Outlook

5 November 2023
Huang Zhang
Changshuo Wang
Shengwei Tian
Baoli Lu
Liping Zhang
X. Ning
Xiao Bai
    3DPC
ArXivPDFHTML

Papers citing "Deep Learning-based 3D Point Cloud Classification: A Systematic Survey and Outlook"

14 / 14 papers shown
Title
On the Efficiency of NLP-Inspired Methods for Tabular Deep Learning
On the Efficiency of NLP-Inspired Methods for Tabular Deep Learning
Anton Thielmann
Soheila Samiee
LMTD
70
1
0
26 Nov 2024
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
33
1
0
04 Nov 2024
PointNet with KAN versus PointNet with MLP for 3D Classification and
  Segmentation of Point Sets
PointNet with KAN versus PointNet with MLP for 3D Classification and Segmentation of Point Sets
Ali Kashefi
3DPC
39
6
0
14 Oct 2024
Sampling Foundational Transformer: A Theoretical Perspective
Sampling Foundational Transformer: A Theoretical Perspective
Viet Anh Nguyen
Minh Lenhat
Khoa Nguyen
Duong Duc Hieu
Dao Huu Hung
Truong Son-Hy
44
0
0
11 Aug 2024
MaRINeR: Enhancing Novel Views by Matching Rendered Images with Nearby
  References
MaRINeR: Enhancing Novel Views by Matching Rendered Images with Nearby References
Lukas Bosiger
Mihai Dusmanu
Marc Pollefeys
Z. Bauer
46
0
0
18 Jul 2024
GPSFormer: A Global Perception and Local Structure Fitting-based
  Transformer for Point Cloud Understanding
GPSFormer: A Global Perception and Local Structure Fitting-based Transformer for Point Cloud Understanding
Changshuo Wang
Meiqing Wu
S. Lam
Xin Ning
Shangshu Yu
Ruiping Wang
Weijun Li
T. Srikanthan
36
14
0
18 Jul 2024
Advancements in Point Cloud-Based 3D Defect Detection and Classification
  for Industrial Systems: A Comprehensive Survey
Advancements in Point Cloud-Based 3D Defect Detection and Classification for Industrial Systems: A Comprehensive Survey
Anju Rani
D. O. Arroyo
Petar Durdevic
3DPC
19
5
0
20 Feb 2024
Harnessing Deep Learning of Point Clouds for Inverse Control of 3D Shape
  Morphing
Harnessing Deep Learning of Point Clouds for Inverse Control of 3D Shape Morphing
Jue Wang
Dhirodaatto Sarkar
J. Suo
Alex Chortos
28
1
0
26 Jan 2024
Adversarial Attacks and Defenses on 3D Point Cloud Classification: A
  Survey
Adversarial Attacks and Defenses on 3D Point Cloud Classification: A Survey
Hanieh Naderi
Ivan V. Bajić
3DPC
31
7
0
01 Jul 2023
Benchmarking Robustness of 3D Point Cloud Recognition Against Common
  Corruptions
Benchmarking Robustness of 3D Point Cloud Recognition Against Common Corruptions
Jiachen Sun
Qingzhao Zhang
B. Kailkhura
Zhiding Yu
Chaowei Xiao
Z. Morley Mao
3DPC
38
84
0
28 Jan 2022
PointCLIP: Point Cloud Understanding by CLIP
PointCLIP: Point Cloud Understanding by CLIP
Renrui Zhang
Ziyu Guo
Wei Zhang
Kunchang Li
Xupeng Miao
Bin Cui
Yu Qiao
Peng Gao
Hongsheng Li
VLM
3DPC
169
435
0
04 Dec 2021
Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis
Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis
Tiange Xiang
Chaoyi Zhang
Yang Song
Jianhui Yu
Weidong (Tom) Cai
3DPC
140
283
0
04 May 2021
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
150
768
0
30 Mar 2018
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
1