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 81–90 of 93 papers

Title	Date	Tasks	Status	Hype
Spherical Convolutional Neural Network for 3D Point Clouds	May 21, 2018	3D Object ClassificationGeneral Classification	—Unverified	0
Deep 2.5D Vehicle Classification with Sparse SfM Depth Prior for Automated Toll Systems	May 9, 2018	3D Object ClassificationClassification	—Unverified	0
General-Purpose Deep Point Cloud Feature Extractor	Mar 12, 2018	3D Object Classification3D Point Cloud Classification	CodeCode Available	0
3D Object Classification via Spherical Projections	Dec 12, 2017	3D Classification3D Object Classification	—Unverified	0
O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis	Dec 5, 2017	3D Object ClassificationGPU	CodeCode Available	1
Wide and deep volumetric residual networks for volumetric image classification	Sep 18, 2017	3D Object ClassificationClassification	—Unverified	0
Learning a Hierarchical Latent-Variable Model of 3D Shapes	May 17, 2017	3D Object Classification3D Object Recognition	CodeCode Available	0
Dynamic Edge-Conditioned Filters in Convolutional Neural Networks on Graphs	Apr 10, 2017	3D Object Classification3D Point Cloud Classification	CodeCode Available	0
ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes	Feb 14, 2017	3D Object ClassificationGeneral Classification	CodeCode Available	1
OctNet: Learning Deep 3D Representations at High Resolutions	Nov 15, 2016	3D Object ClassificationGeneral Classification	CodeCode Available	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