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. 1907.04444
  4. Cited By
A review on deep learning techniques for 3D sensed data classification

A review on deep learning techniques for 3D sensed data classification

9 July 2019
David J. Griffiths
Jan Boehm
    3DPC
    3DV
ArXivPDFHTML

Papers citing "A review on deep learning techniques for 3D sensed data classification"

6 / 56 papers shown
Title
Spectral Networks and Locally Connected Networks on Graphs
Spectral Networks and Locally Connected Networks on Graphs
Joan Bruna
Wojciech Zaremba
Arthur Szlam
Yann LeCun
GNN
115
4,856
0
21 Dec 2013
Network In Network
Network In Network
Min Lin
Qiang Chen
Shuicheng Yan
208
6,257
0
16 Dec 2013
Rich feature hierarchies for accurate object detection and semantic
  segmentation
Rich feature hierarchies for accurate object detection and semantic segmentation
Ross B. Girshick
Jeff Donahue
Trevor Darrell
Jitendra Malik
ObjD
194
26,091
0
11 Nov 2013
Rotational Projection Statistics for 3D Local Surface Description and
  Object Recognition
Rotational Projection Statistics for 3D Local Surface Description and Object Recognition
Yulan Guo
Ferdous Sohel
Bennamoun
Min Lu
Jianwei Wan
33
629
0
11 Apr 2013
Indoor Semantic Segmentation using depth information
Indoor Semantic Segmentation using depth information
Camille Couprie
C. Farabet
Laurent Najman
Yann LeCun
SSeg
MDE
131
477
0
16 Jan 2013
3D Terrestrial lidar data classification of complex natural scenes using
  a multi-scale dimensionality criterion: applications in geomorphology
3D Terrestrial lidar data classification of complex natural scenes using a multi-scale dimensionality criterion: applications in geomorphology
N. Brodu
D. Lague
3DPC
3DV
40
559
0
04 Jul 2011
Previous
12