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 21–30 of 93 papers

Title	Date	Tasks	Status	Hype
Cascaded Refinement Network for Point Cloud Completion with Self-supervision	Oct 17, 2020	3D Object ClassificationPoint Cloud Completion	CodeCode Available	1
Weight Excitation: Built-in Attention Mechanisms in Convolutional Neural Networks	Aug 1, 2020	3D Action Recognition3D Classification	CodeCode Available	1
Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds	Mar 29, 2020	3D Object ClassificationGeneral Classification	CodeCode Available	1
FPConv: Learning Local Flattening for Point Convolution	Feb 25, 2020	3D Object ClassificationScene Segmentation	CodeCode Available	1
Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data	Aug 13, 2019	3D Object Classification3D Point Cloud Classification	CodeCode Available	1
O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis	Dec 5, 2017	3D Object ClassificationGPU	CodeCode Available	1
ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes	Feb 14, 2017	3D Object ClassificationGeneral Classification	CodeCode Available	1
Block Coordinate Descent for Sparse NMF	Jan 15, 2013	3D Object Classification	CodeCode Available	1
RW-Net: Enhancing Few-Shot Point Cloud Classification with a Wavelet Transform Projection-based Network	Jan 6, 2025	3D Object ClassificationFew-Shot Learning	—Unverified	0
Point-GR: Graph Residual Point Cloud Network for 3D Object Classification and Segmentation	Dec 4, 2024	3D Object ClassificationClassification	—Unverified	0

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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