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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
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
FusionNet: 3D Object Classification Using Multiple Data Representations—0
Hierarchical Object Representation for Open-Ended Object Category Learning and Recognition—0
InOR-Net: Incremental 3D Object Recognition Network for Point Cloud Representation—0
Integration of 3D Object Recognition and Planning for Robotic Manipulation: A Preliminary Report—0
Interactive Open-Ended Learning for 3D Object Recognition—0
Investigating the Importance of Shape Features, Color Constancy, Color Spaces and Similarity Measures in Open-Ended 3D Object Recognition—0
L3DOC: Lifelong 3D Object Classification—0
Learning Relationships for Multi-View 3D Object Recognition—0
Lifelong Ensemble Learning based on Multiple Representations for Few-Shot Object Recognition—0
LM-MCVT: A Lightweight Multi-modal Multi-view Convolutional-Vision Transformer Approach for 3D Object Recognition—0
Look Further to Recognize Better: Learning Shared Topics and Category-Specific Dictionaries for Open-Ended 3D Object Recognition—0
Matching objects across the textured-smooth continuum—0
Minimal Adversarial Examples for Deep Learning on 3D Point Clouds—0
Mitigating the Hubness Problem for Zero-Shot Learning of 3D Objects—0
Multi-View Harmonized Bilinear Network for 3D Object Recognition—0
FPNN: Field Probing Neural Networks for 3D DataCode0
MVT: Multi-view Vision Transformer for 3D Object RecognitionCode0
Topology-Guided Knowledge Distillation for Efficient Point Cloud ProcessingCode0
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