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 51–75 of 97 papers

TitleStatusHype
3D Object Detection Method Based on YOLO and K-Means for Image and Point Clouds—0
Triangle-Net: Towards Robustness in Point Cloud LearningCode0
Investigating the Importance of Shape Features, Color Constancy, Color Spaces and Similarity Measures in Open-Ended 3D Object Recognition—0
Variable-Viewpoint Representations for 3D Object Recognition—0
Interactive Open-Ended Learning for 3D Object Recognition—0
L3DOC: Lifelong 3D Object Classification—0
Representation Learning on Unit Ball with 3D Roto-Translational Equivariance—0
Learning Relationships for Multi-View 3D Object Recognition—0
Task-Aware Monocular Depth Estimation for 3D Object DetectionCode0
Look Further to Recognize Better: Learning Shared Topics and Category-Specific Dictionaries for Open-Ended 3D Object Recognition—0
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
Volumetric Convolution: Automatic Representation Learning in Unit Ball—0
Deep RBFNet: Point Cloud Feature Learning using Radial Basis Functions—0
PVNet: A Joint Convolutional Network of Point Cloud and Multi-View for 3D Shape RecognitionCode0
Multi-View Harmonized Bilinear Network for 3D Object Recognition—0
Multi-level 3D CNN for Learning Multi-scale Spatial FeaturesCode0
Show:102550
← PrevPage 3 of 4Next →

No leaderboard results yet.