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3D Object Recognition

13 papers with code · Computer Vision
Subtask of Object Recognition

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

Note that there are related tasks you can look at, such as 3D Object Detection which have more leaderboards.

( Image credit: Look Further to Recognize Better )

Benchmarks

Latest papers with code

BlenderProc

25 Oct 2019DLR-RM/BlenderProc

BlenderProc is a modular procedural pipeline, which helps in generating real looking images for the training of convolutional neural networks.

3D OBJECT RECOGNITION DEPTH IMAGE ESTIMATION POSE ESTIMATION SEMANTIC SEGMENTATION SURFACE NORMALS ESTIMATION

266
25 Oct 2019

Task-Aware Monocular Depth Estimation for 3D Object Detection

17 Sep 2019WXinlong/ForeSeE

In this paper, we first analyse the data distributions and interaction of foreground and background, then propose the foreground-background separated monocular depth estimation (ForeSeE) method, to estimate the foreground depth and background depth using separate optimization objectives and depth decoders.

3D OBJECT DETECTION 3D OBJECT RECOGNITION MONOCULAR DEPTH ESTIMATION

34
17 Sep 2019

SceneGraphNet: Neural Message Passing for 3D Indoor Scene Augmentation

ICCV 2019 yzhou359/3DIndoor-SceneGraphNet

In this paper we propose a neural message passing approach to augment an input 3D indoor scene with new objects matching their surroundings.

3D OBJECT RECOGNITION SCENE GENERATION

42
25 Jul 2019

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

4
04 Jun 2019

3D Object Recognition with Ensemble Learning --- A Study of Point Cloud-Based Deep Learning Models

17 Apr 2019dkoguciuk/ensemble_learning_for_point_clouds

In this study, we present an analysis of model-based ensemble learning for 3D point-cloud object classification and detection.

3D OBJECT DETECTION 3D OBJECT RECOGNITION OBJECT CLASSIFICATION

9
17 Apr 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

9
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 CLASSIFICATION METRIC LEARNING

20
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

9
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

27
17 May 2017