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3D Object Recognition

9 papers with code ยท Computer Vision
Subtask of Object Recognition

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

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Latest papers without code

MV-C3D: A Spatial Correlated Multi-View 3D Convolutional Neural Networks

15 Jun 2019

Experimental results on ModelNet10 and ModelNet40 datasets show that our MV-C3D technique can achieve outstanding performance with multi-view images which are captured from partial angles with less range.

3D OBJECT RECOGNITION

Y-GAN: A Generative Adversarial Network for Depthmap Estimation from Multi-camera Stereo Images

3 Jun 2019

Depth perception is a key component for autonomous systems that interact in the real world, such as delivery robots, warehouse robots, and self-driving cars.

3D OBJECT RECOGNITION SELF-DRIVING CARS SIMULTANEOUS LOCALIZATION AND MAPPING

Volumetric Convolution: Automatic Representation Learning in Unit Ball

ICLR 2019

Convolution is an efficient technique to obtain abstract feature representations using hierarchical layers in deep networks.

3D OBJECT RECOGNITION 3D SHAPE ANALYSIS REPRESENTATION LEARNING

Deep Multi-View Learning using Neuron-Wise Correlation-Maximizing Regularizers

25 Apr 2019

Such a perspective enables us to study deep multi-view learning in the context of regularized network training, for which we present control experiments of benchmark image classification to show the efficacy of our proposed CorrReg.

3D OBJECT RECOGNITION IMAGE CLASSIFICATION SCENE RECOGNITION

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

17 Apr 2019

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

OrthographicNet: A Deep Learning Approach for 3D Object Recognition in Open-Ended Domains

8 Feb 2019

Service robots are expected to be more autonomous and efficiently work in human-centric environments.

3D OBJECT RECOGNITION TRANSFER LEARNING

Volumetric Convolution: Automatic Representation Learning in Unit Ball

ICLR 2019

Convolution is an efficient technique to obtain abstract feature representations using hierarchical layers in deep networks.

3D OBJECT RECOGNITION 3D SHAPE ANALYSIS REPRESENTATION LEARNING

Deep RBFNet: Point Cloud Feature Learning using Radial Basis Functions

11 Dec 2018

Three-dimensional object recognition has recently achieved great progress thanks to the development of effective point cloud-based learning frameworks, such as PointNet and its extensions.

3D OBJECT RECOGNITION

PVNet: A Joint Convolutional Network of Point Cloud and Multi-View for 3D Shape Recognition

23 Aug 2018

With the recent proliferation of deep learning, various deep models with different representations have achieved the state-of-the-art performance.

3D OBJECT RECOGNITION 3D SHAPE RECOGNITION 3D SHAPE REPRESENTATION