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PIG-Net: Inception based Deep Learning Architecture for 3D Point Cloud
  Segmentation

PIG-Net: Inception based Deep Learning Architecture for 3D Point Cloud Segmentation

28 January 2021
Sindhu B. Hegde
Shankar Gangisetty
    3DPC
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Papers citing "PIG-Net: Inception based Deep Learning Architecture for 3D Point Cloud Segmentation"

4 / 4 papers shown
Title
OccuSeg: Occupancy-aware 3D Instance Segmentation
OccuSeg: Occupancy-aware 3D Instance Segmentation
Lei Han
Tian Zheng
Lan Xu
Lu Fang
3DPC
150
256
0
14 Mar 2020
Point Attention Network for Semantic Segmentation of 3D Point Clouds
Point Attention Network for Semantic Segmentation of 3D Point Clouds
Mingtao Feng
Liang Zhang
Xuefei Lin
Syed Zulqarnain Gilani
Ajmal Saeed Mian
3DPC
44
150
0
27 Sep 2019
DensePoint: Learning Densely Contextual Representation for Efficient
  Point Cloud Processing
DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing
Yongcheng Liu
Bin Fan
Gaofeng Meng
Jiwen Lu
Shiming Xiang
Chunhong Pan
3DPC
117
270
0
09 Sep 2019
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
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