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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 1–25 of 97 papers

TitleStatusHype
SceneGraphNet: Neural Message Passing for 3D Indoor Scene AugmentationCode2
Omni3D: A Large Benchmark and Model for 3D Object Detection in the WildCode2
BlenderProcCode2
Lifting Multi-View Detection and Tracking to the Bird's Eye ViewCode2
MeshWalker: Deep Mesh Understanding by Random WalksCode1
FSD: Fast Self-Supervised Single RGB-D to Categorical 3D ObjectsCode1
Explainability-Aware One Point Attack for Point Cloud Neural NetworksCode1
3D Instance Segmentation Using Deep Learning on RGB-D Indoor Data—0
Efficient 2D-to-3D Correspondence Filtering for Scalable 3D Object Recognition—0
Efficient Global Point Cloud Alignment using Bayesian Nonparametric Mixtures—0
3D Object Recognition with Deep Belief Nets—0
Early or Late Fusion Matters: Efficient RGB-D Fusion in Vision Transformers for 3D Object Recognition—0
Beyond Viewpoint: Robust 3D Object Recognition under Arbitrary Views through Joint Multi-Part Representation—0
Analysis by Synthesis: 3D Object Recognition by Object Reconstruction—0
Aligning Text, Images, and 3D Structure Token-by-Token—0
3D Object Recognition By Corresponding and Quantizing Neural 3D Scene Representations—0
Deep Graph Reprogramming—0
Open-Ended Fine-Grained 3D Object Categorization by Combining Shape and Texture Features in Multiple Colorspaces—0
Deep Models for Multi-View 3D Object Recognition: A Review—0
Deep Multi-View Learning using Neuron-Wise Correlation-Maximizing Regularizers—0
Deep Optical Coding Design in Computational Imaging—0
Deep RBFNet: Point Cloud Feature Learning using Radial Basis Functions—0
A Performance Evaluation of Correspondence Grouping Methods for 3D Rigid Data Matching—0
Dual coordinate solvers for large-scale structural SVMs—0
Active Perception using Light Curtains for Autonomous Driving—0
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