SOTAVerified

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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 61–70 of 97 papers

TitleStatusHype
Class-specific Anchoring Proposal for 3D Object Recognition in LIDAR and RGB Images—0
Mitigating the Hubness Problem for Zero-Shot Learning of 3D Objects—0
A Performance Evaluation of Correspondence Grouping Methods for 3D Rigid Data Matching—0
MV-C3D: A Spatial Correlated Multi-View 3D Convolutional Neural Networks—0
Dominant Set Clustering and Pooling for Multi-View 3D Object RecognitionCode0
Y-GAN: A Generative Adversarial Network for Depthmap Estimation from Multi-camera Stereo Images—0
ClusterNet: Deep Hierarchical Cluster Network With Rigorously Rotation-Invariant Representation for Point Cloud Analysis—0
Deep Multi-View Learning using Neuron-Wise Correlation-Maximizing Regularizers—0
3D Object Recognition with Ensemble Learning --- A Study of Point Cloud-Based Deep Learning ModelsCode0
OrthographicNet: A Deep Transfer Learning Approach for 3D Object Recognition in Open-Ended DomainsCode0
Show:102550
← PrevPage 7 of 10Next →

No leaderboard results yet.