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3D Object Classification

7 papers with code ยท Computer Vision
Subtask of 3D

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Latest papers without code

Spherical Fractal Convolutional Neural Networks for Point Cloud Recognition

CVPR 2019

We present a generic, flexible and 3D rotation invariant framework based on spherical symmetry for point cloud recognition.

3D OBJECT CLASSIFICATION OBJECT CLASSIFICATION

Octree Guided CNN With Spherical Kernels for 3D Point Clouds

CVPR 2019

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

3D OBJECT CLASSIFICATION OBJECT CLASSIFICATION

Octree guided CNN with Spherical Kernels for 3D Point Clouds

CVPR 2019

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

3D OBJECT CLASSIFICATION OBJECT CLASSIFICATION

A Graph-CNN for 3D Point Cloud Classification

28 Nov 2018

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

3D OBJECT CLASSIFICATION OBJECT CLASSIFICATION

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

5 Nov 2018

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

3D OBJECT CLASSIFICATION OBJECT CLASSIFICATION

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

CVPR 2018

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.

3D OBJECT CLASSIFICATION OBJECT CLASSIFICATION POSE ESTIMATION

Spherical Convolutional Neural Network for 3D Point Clouds

21 May 2018

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

3D OBJECT CLASSIFICATION OBJECT CLASSIFICATION

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

9 May 2018

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.

3D OBJECT CLASSIFICATION OBJECT CLASSIFICATION