3D Object Classification

3D Object Classification is the task of predicting the class of a 3D object point cloud. It is a voxel level prediction where each voxel is classified into a category. The popular benchmark for this task is the ModelNet dataset. The models for this task are usually evaluated with the Classification Accuracy metric.

Image: Sedaghat et al

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 71–80 of 93 papers

Title	Date	Tasks	Status
Beyond local patches: Preserving global–local interactions by enhancing self-attention via 3D point cloud tokenization	Nov 1, 2024	3D Classification3D Object Classification	—Unverified
Background-Aware 3D Point Cloud Segmentationwith Dynamic Point Feature Aggregation	Nov 14, 2021	3D Object ClassificationPoint Cloud Segmentation	—Unverified
Primitive3D: 3D Object Dataset Synthesis from Randomly Assembled Primitives	May 25, 2022	3D Object ClassificationDataset Distillation	—Unverified
Real-time object detection and tracking using flash LiDAR imagery	Jun 7, 2024	3D Object ClassificationObject	—Unverified
An Interpretable Machine Learning Model with Deep Learning-based Imaging Biomarkers for Diagnosis of Alzheimer's Disease	Aug 15, 2023	3D Object ClassificationInterpretable Machine Learning	—Unverified
Addressing the Sim2Real Gap in Robotic 3D Object Classification	Oct 28, 2019	3D Object ClassificationClassification	—Unverified
Classification of Single-View Object Point Clouds	Dec 18, 2020	3D Object Classification6D Pose Estimation using RGB	—Unverified
RW-Net: Enhancing Few-Shot Point Cloud Classification with a Wavelet Transform Projection-based Network	Jan 6, 2025	3D Object ClassificationFew-Shot Learning	—Unverified
ABD-Net: Attention Based Decomposition Network for 3D Point Cloud Decomposition	Jul 9, 2021	3D Object Classification	—Unverified
3DTI-Net: Learn Inner Transform Invariant 3D Geometry Features using Dynamic GCN	Dec 15, 2018	3D geometry3D Object Classification	—Unverified

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All datasets ModelNet40 ModelNet10 3R-Scan Remote Flash LiDAR Vehicles Dataset

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Ours	Classification Accuracy	93.6	—	Unverified
2	G3DNet-18 MLP, Fine-Tuned, Vote	Classification Accuracy	91.7	—	Unverified
3	CrossMoCo	Classification Accuracy	91.49	—	Unverified
4	O-CNN(6)	Classification Accuracy	89.9	—	Unverified
5	Spherical Kernel	Classification Accuracy	89.3	—	Unverified
6	3D-PointCapsNet	Classification Accuracy	89.3	—	Unverified
7	ECC (12 votes)	Classification Accuracy	83.2	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	PolyNet	Accuracy	94.93	—	Unverified
2	ORION	Accuracy	93.8	—	Unverified
3	G3DNet-18 SVM, Fine-Tuned, Vote	Accuracy	93.1	—	Unverified
4	ECC (12 votes)	Accuracy	90	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SceneGraphFusion	Top-10 Accuracy	0.8	—	Unverified
2	3DSSG [Wald2020_3dssg]	Top-10 Accuracy	0.78	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	YOLO-X	mean average precision	0.99	—	Unverified