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 41–50 of 93 papers

Title	Date	Tasks	Status	Hype
PolyNet: Polynomial Neural Network for 3D Shape Recognition with PolyShape Representation	Oct 15, 2021	3D Object Classification3D Point Cloud Classification	CodeCode Available	1
Unsupervised Contrastive Learning with Simple Transformation for 3D Point Cloud Data	Oct 13, 2021	3D Object ClassificationClassification	—Unverified	0
LATFormer: Locality-Aware Point-View Fusion Transformer for 3D Shape Recognition	Sep 3, 2021	3D Object Classification3D Object Retrieval	—Unverified	0
Point Discriminative Learning for Data-efficient 3D Point Cloud Analysis	Aug 4, 2021	3D Object Classification3D Part Segmentation	—Unverified	0
ABD-Net: Attention Based Decomposition Network for 3D Point Cloud Decomposition	Jul 9, 2021	3D Object Classification	—Unverified	0
Dense Graph Convolutional Neural Networks on 3D Meshes for 3D Object Segmentation and Classification	Jun 30, 2021	3D Object ClassificationDescriptive	—Unverified	0
Cross-Level Cross-Scale Cross-Attention Network for Point Cloud Representation	Apr 27, 2021	3D Object ClassificationPoint Cloud Segmentation	—Unverified	0
SceneGraphFusion: Incremental 3D Scene Graph Prediction from RGB-D Sequences	Mar 27, 2021	3D Object Classification3d scene graph generation	CodeCode Available	1
Sim2Real 3D Object Classification using Spherical Kernel Point Convolution and a Deep Center Voting Scheme	Mar 10, 2021	3D Object ClassificationGeneral Classification	—Unverified	0
Self-Supervised Multi-View Learning via Auto-Encoding 3D Transformations	Mar 1, 2021	3D Object Classification3D Object Recognition	—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