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# 3D Object Classification Edit

6 papers with code · Computer Vision

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# Octree guided CNN with Spherical Kernels for 3D Point Clouds

28 Feb 2019Huan Lei et al

We propose an octree guided neural network architecture and spherical convolutional kernel for machine learning from arbitrary 3D point clouds.

28 Feb 2019

# 3DTI-Net: Learn Inner Transform Invariant 3D Geometry Features using Dynamic GCN

15 Dec 2018Guanghua Pan et al

Deep learning on point clouds has made a lot of progress recently.

15 Dec 2018

# A Graph-CNN for 3D Point Cloud Classification

28 Nov 2018Yingxue Zhang et al

Graph convolutional neural networks (Graph-CNNs) extend traditional CNNs to handle data that is supported on a graph.

28 Nov 2018

# SPNet: Deep 3D Object Classification and Retrieval using Stereographic Projection

5 Nov 2018Mohsen Yavartanoo et al

We propose an efficient Stereographic Projection Neural Network (SPNet) for learning representations of 3D objects.

05 Nov 2018

# RotationNet: Joint Object Categorization and Pose Estimation Using Multiviews From Unsupervised Viewpoints

Asako Kanezaki et al

We propose a Convolutional Neural Network (CNN)-based model RotationNet,'' which takes multi-view images of an object as input and jointly estimates its pose and object category.

01 Jun 2018

# Spherical Convolutional Neural Network for 3D Point Clouds

21 May 2018Huan Lei et al

We propose a neural network for 3D point cloud processing that exploits `spherical' convolution kernels and octree partitioning of space.

21 May 2018

# Deep 2.5D Vehicle Classification with Sparse SfM Depth Prior for Automated Toll Systems

9 May 2018Georg Waltner et al

Furthermore due to the design of the network, at test time only the 2D camera images are required for classification which enables the usage in portable computer vision systems.

09 May 2018

# 3D Object Classification via Spherical Projections

12 Dec 2017Zhangjie Cao et al

Our main idea is to project a 3D object onto a spherical domain centered around its barycenter and develop neural network to classify the spherical projection.

12 Dec 2017

# Wide and deep volumetric residual networks for volumetric image classification

18 Sep 2017Varun Arvind et al

3D shape models that directly classify objects from 3D information have become more widely implementable.

18 Sep 2017

# OctNet: Learning Deep 3D Representations at High Resolutions

Gernot Riegler et al

We present OctNet, a representation for deep learning with sparse 3D data.

01 Jul 2017