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ModelNet-O: A Large-Scale Synthetic Dataset for Occlusion-Aware Point
  Cloud Classification

ModelNet-O: A Large-Scale Synthetic Dataset for Occlusion-Aware Point Cloud Classification

16 January 2024
Zhongbin Fang
Xia Li
Xiangtai Li
Shen Zhao
Mengyuan Liu
    3DPC
ArXivPDFHTML

Papers citing "ModelNet-O: A Large-Scale Synthetic Dataset for Occlusion-Aware Point Cloud Classification"

5 / 5 papers shown
Title
Masked Autoencoders in 3D Point Cloud Representation Learning
Masked Autoencoders in 3D Point Cloud Representation Learning
Jincen Jiang
Xuequan Lu
Lizhi Zhao
Richard Dazeley
Meili Wang
3DPC
ViT
42
28
0
04 Jul 2022
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud
  Pre-training
Point-M2AE: Multi-scale Masked Autoencoders for Hierarchical Point Cloud Pre-training
Renrui Zhang
Ziyu Guo
Rongyao Fang
Bingyan Zhao
Dong Wang
Yu Qiao
Hongsheng Li
Peng Gao
3DPC
156
241
0
28 May 2022
Consistent 3D Hand Reconstruction in Video via self-supervised Learning
Consistent 3D Hand Reconstruction in Video via self-supervised Learning
Zhigang Tu
Zhishen Huang
Yujin Chen
Di Kang
Linchao Bao
Bisheng Yang
Junsong Yuan
3DH
30
37
0
24 Jan 2022
MaskNet: A Fully-Convolutional Network to Estimate Inlier Points
MaskNet: A Fully-Convolutional Network to Estimate Inlier Points
Vinit Sarode
Animesh Dhagat
Rangaprasad Arun Srivatsan
N. Zevallos
Simon Lucey
Howie Choset
3DPC
32
28
0
19 Oct 2020
PointContrast: Unsupervised Pre-training for 3D Point Cloud
  Understanding
PointContrast: Unsupervised Pre-training for 3D Point Cloud Understanding
Saining Xie
Jiatao Gu
Demi Guo
C. Qi
Leonidas J. Guibas
Or Litany
3DPC
128
618
0
21 Jul 2020
1