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. 2406.11441
  4. Cited By
SWCF-Net: Similarity-weighted Convolution and Local-global Fusion for
  Efficient Large-scale Point Cloud Semantic Segmentation

SWCF-Net: Similarity-weighted Convolution and Local-global Fusion for Efficient Large-scale Point Cloud Semantic Segmentation

17 June 2024
Zhenchao Lin
Li He
Hongqiang Yang
Xiaoqun Sun
Cuojin Zhang
Weinan Chen
Yisheng Guan
Hong Zhang
    3DPC
ArXivPDFHTML

Papers citing "SWCF-Net: Similarity-weighted Convolution and Local-global Fusion for Efficient Large-scale Point Cloud Semantic Segmentation"

2 / 2 papers shown
Title
LOCUS 2.0: Robust and Computationally Efficient Lidar Odometry for
  Real-Time Underground 3D Mapping
LOCUS 2.0: Robust and Computationally Efficient Lidar Odometry for Real-Time Underground 3D Mapping
Andrzej Reinke
M. Palieri
B. Morrell
Yun Chang
K. Ebadi
Luca Carlone
Ali-akbar Agha-mohammadi
44
67
0
24 May 2022
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
210
13,886
0
02 Dec 2016
1