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3D Object Recognition

9 papers with code · Computer Vision
Subtask of Object Recognition

3D object recognition is the task of recognising objects from 3D data.

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Latest papers with code

Dominant Set Clustering and Pooling for Multi-View 3D Object Recognition

4 Jun 2019fate3439/dscnn

We improve upon these methods by introducing a view clustering and pooling layer based on dominant sets.

3D OBJECT RECOGNITION

16
04 Jun 2019

Multi-level 3D CNN for Learning Multi-scale Spatial Features

30 May 2018idealab-isu/GPView

The multi-level voxel representation consists of a coarse voxel grid that contains volumetric information of the 3D object.

3D OBJECT RECOGNITION

2
30 May 2018

Triplet-Center Loss for Multi-View 3D Object Retrieval

CVPR 2018 popcornell/keras-triplet-center-loss

Most existing 3D object recognition algorithms focus on leveraging the strong discriminative power of deep learning models with softmax loss for the classification of 3D data, while learning discriminative features with deep metric learning for 3D object retrieval is more or less neglected.

3D OBJECT RECOGNITION 3D OBJECT RETRIEVAL 3D SHAPE RETRIEVAL METRIC LEARNING

1
16 Mar 2018

Learning and Visualizing Localized Geometric Features Using 3D-CNN: An Application to Manufacturability Analysis of Drilled Holes

13 Nov 2017idealab-isu/GPView

3D Convolutional Neural Networks (3D-CNN) have been used for object recognition based on the voxelized shape of an object.

3D OBJECT RECOGNITION DECISION MAKING

2
13 Nov 2017

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

22
17 May 2017

FPNN: Field Probing Neural Networks for 3D Data

NeurIPS 2016 yangyanli/FPNN

Each field probing filter is a set of probing points --- sensors that perceive the space.

3D OBJECT RECOGNITION

41
20 May 2016

Volumetric and Multi-View CNNs for Object Classification on 3D Data

CVPR 2016 charlesq34/3dcnn.torch

Empirical results from these two types of CNNs exhibit a large gap, indicating that existing volumetric CNN architectures and approaches are unable to fully exploit the power of 3D representations.

3D OBJECT RECOGNITION OBJECT CLASSIFICATION

167
12 Apr 2016

Sparse 3D convolutional neural networks

12 May 2015facebookresearch/SparseConvNet

We have implemented a convolutional neural network designed for processing sparse three-dimensional input data.

3D OBJECT RECOGNITION ZERO-SHOT ACTION RECOGNITION

765
12 May 2015