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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 51–75 of 97 papers

TitleStatusHype
Rotation-Invariant Local-to-Global Representation Learning for 3D Point Cloud—0
Seeing by haptic glance: reinforcement learning-based 3D object Recognition—0
Self-Supervised Modality-Invariant and Modality-Specific Feature Learning for 3D Objects—0
Self-Supervised Multi-View Learning via Auto-Encoding 3D Transformations—0
Signature of Geometric Centroids for 3D Local Shape Description and Partial Shape Matching—0
SLAM++: Simultaneous Localisation and Mapping at the Level of Objects—0
Sparse Depth Completion with Semantic Mesh Deformation Optimization—0
Spectral Processing and Optimization of Static and Dynamic 3D Geometries—0
SUGAR: Pre-training 3D Visual Representations for Robotics—0
TANDEM3D: Active Tactile Exploration for 3D Object Recognition—0
Towards Robust 3D Object Recognition with Dense-to-Sparse Deep Domain Adaptation—0
MM-Mixing: Multi-Modal Mixing Alignment for 3D Understanding—0
Variable-Viewpoint Representations for 3D Object Recognition—0
Volumetric Convolution: Automatic Representation Learning in Unit Ball—0
Y-GAN: A Generative Adversarial Network for Depthmap Estimation from Multi-camera Stereo Images—0
YOLO and K-Means Based 3D Object Detection Method on Image and Point Cloud—0
3D Instance Segmentation Using Deep Learning on RGB-D Indoor Data—0
3D Object Detection Method Based on YOLO and K-Means for Image and Point Clouds—0
3D Object Recognition By Corresponding and Quantizing Neural 3D Scene Representations—0
3D Object Recognition with Deep Belief Nets—0
6D Pose Estimation with Combined Deep Learning and 3D Vision Techniques for a Fast and Accurate Object Grasping—0
Active Perception using Light Curtains for Autonomous Driving—0
Aligning Text, Images, and 3D Structure Token-by-Token—0
Analysis by Synthesis: 3D Object Recognition by Object Reconstruction—0
A Performance Evaluation of Correspondence Grouping Methods for 3D Rigid Data Matching—0
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