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3D Object Classification

12 papers with code · Computer Vision
Subtask of 3D

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Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds

29 Mar 2020raoyongming/PointGLR

Based on this hypothesis, we propose to learn point cloud representation by bidirectional reasoning between the local structures at different abstraction hierarchies and the global shape without human supervision.

3D OBJECT CLASSIFICATION OBJECT CLASSIFICATION UNSUPERVISED REPRESENTATION LEARNING

9
29 Mar 2020

FPConv: Learning Local Flattening for Point Convolution

25 Feb 2020lyqun/FPConv

We introduce FPConv, a novel surface-style convolution operator designed for 3D point cloud analysis.

3D OBJECT CLASSIFICATION OBJECT CLASSIFICATION SCENE SEGMENTATION

45
25 Feb 2020

Data-Free Point Cloud Network for 3D Face Recognition

12 Nov 2019alfredtorres/3DFacePointCloudNet

To ease the inconsistent distribution between model data and real faces, different point sampling methods are used in train and test phase.

3D OBJECT CLASSIFICATION FACE RECOGNITION OBJECT CLASSIFICATION SEMANTIC PARSING

6
12 Nov 2019

Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data

ICCV 2019 hkust-vgd/scanobjectnn

From our comprehensive benchmark, we show that our dataset poses great challenges to existing point cloud classification techniques as objects from real-world scans are often cluttered with background and/or are partial due to occlusions.

3D OBJECT CLASSIFICATION OBJECT CLASSIFICATION

85
13 Aug 2019

Extending Adversarial Attacks and Defenses to Deep 3D Point Cloud Classifiers

10 Jan 2019Daniel-Liu-c0deb0t/3D-Neural-Network-Adversarial-Attacks

We present a preliminary evaluation of adversarial attacks on deep 3D point cloud classifiers, namely PointNet and PointNet++, by evaluating both white-box and black-box adversarial attacks that were proposed for 2D images and extending those attacks to reduce the perceptibility of the perturbations in 3D space.

3D OBJECT CLASSIFICATION IMAGE CLASSIFICATION OBJECT CLASSIFICATION

8
10 Jan 2019

3D Point Capsule Networks

CVPR 2019 yongheng1991/3D-point-capsule-networks

In this paper, we propose 3D point-capsule networks, an auto-encoder designed to process sparse 3D point clouds while preserving spatial arrangements of the input data.

3D FEATURE MATCHING 3D GEOMETRY PERCEPTION 3D OBJECT CLASSIFICATION 3D OBJECT RECONSTRUCTION 3D PART SEGMENTATION 3D POINT CLOUD MATCHING 3D SHAPE GENERATION 3D SHAPE REPRESENTATION

173
27 Dec 2018

MeshCNN: A Network with an Edge

16 Sep 2018ranahanocka/MeshCNN

In this paper, we utilize the unique properties of the mesh for a direct analysis of 3D shapes using MeshCNN, a convolutional neural network designed specifically for triangular meshes.

3D PART SEGMENTATION 3D SHAPE ANALYSIS CUBE ENGRAVING CLASSIFICATION

788
16 Sep 2018

Learning 3D Shapes as Multi-Layered Height-maps using 2D Convolutional Networks

ECCV 2018 krips89/mlh_mvcnn

We present a novel global representation of 3D shapes, suitable for the application of 2D CNNs.

3D OBJECT CLASSIFICATION

8
23 Jul 2018

Learning a Hierarchical Latent-Variable Model of 3D Shapes

17 May 2017lorenmt/vsl

We propose the Variational Shape Learner (VSL), a generative model that learns the underlying structure of voxelized 3D shapes in an unsupervised fashion.

3D OBJECT CLASSIFICATION 3D OBJECT RECOGNITION 3D RECONSTRUCTION 3D SHAPE GENERATION

24
17 May 2017