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3D 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)

Papers

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Showing 76–97 of 97 papers

TitleStatusHype
Performance Evaluation of 3D Correspondence Grouping Algorithms—0
Triplet-Center Loss for Multi-View 3D Object RetrievalCode0
Learning and Visualizing Localized Geometric Features Using 3D-CNN: An Application to Manufacturability Analysis of Drilled HolesCode0
Rotational Subgroup Voting and Pose Clustering for Robust 3D Object Recognition—0
Learning a Hierarchical Latent-Variable Model of 3D ShapesCode0
Signature of Geometric Centroids for 3D Local Shape Description and Partial Shape Matching—0
Hierarchical Object Representation for Open-Ended Object Category Learning and Recognition—0
Learning a Probabilistic Latent Space of Object Shapes via 3D Generative-Adversarial ModelingCode0
FusionNet: 3D Object Classification Using Multiple Data Representations—0
FPNN: Field Probing Neural Networks for 3D DataCode0
Volumetric and Multi-View CNNs for Object Classification on 3D DataCode0
Orientation-boosted Voxel Nets for 3D Object Recognition—0
Efficient Global Point Cloud Alignment using Bayesian Nonparametric Mixtures—0
Sparse 3D convolutional neural networksCode0
Analysis by Synthesis: 3D Object Recognition by Object Reconstruction—0
Dual coordinate solvers for large-scale structural SVMs—0
Integration of 3D Object Recognition and Planning for Robotic Manipulation: A Preliminary Report—0
Matching objects across the textured-smooth continuum—0
Efficient 2D-to-3D Correspondence Filtering for Scalable 3D Object Recognition—0
SLAM++: Simultaneous Localisation and Mapping at the Level of Objects—0
Rotational Projection Statistics for 3D Local Surface Description and Object Recognition—0
3D Object Recognition with Deep Belief Nets—0
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