SOTAVerified

Point Cloud Classification

Point Cloud Classification is a task involving the classification of unordered 3D point sets (point clouds).

Papers

Showing 211220 of 265 papers

TitleStatusHype
Equivariant vs. Invariant Layers: A Comparison of Backbone and Pooling for Point Cloud ClassificationCode0
Classifying Objects in 3D Point Clouds Using Recurrent Neural Network: A GRU LSTM Hybrid ApproachCode0
Two Heads are Better than One: Geometric-Latent Attention for Point Cloud Classification and SegmentationCode0
Point-PlaneNet: Plane kernel based convolutional neural network for point clouds analysisCode0
Point-Voxel Adaptive Feature Abstraction for Robust Point Cloud ClassificationCode0
On Automatic Data Augmentation for 3D Point Cloud ClassificationCode0
Classifying point clouds at the facade-level using geometric features and deep learning networksCode0
3D Point Cloud Classification and Segmentation using 3D Modified Fisher Vector Representation for Convolutional Neural NetworksCode0
DDEQs: Distributional Deep Equilibrium Models through Wasserstein Gradient FlowsCode0
RefRec: Pseudo-labels Refinement via Shape Reconstruction for Unsupervised 3D Domain AdaptationCode0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PointNetmean Corruption Error (mCE)1.42Unverified
2WOLFMix (PointNet)mean Corruption Error (mCE)1.18Unverified
3PointNetmean Corruption Error (mCE)1.18Unverified
4RSCNNmean Corruption Error (mCE)1.13Unverified
5PAConvmean Corruption Error (mCE)1.1Unverified
6SimpleViewmean Corruption Error (mCE)1.05Unverified
7OcCo-DGCNNmean Corruption Error (mCE)1.05Unverified
8PointMixUp (PointNet++)mean Corruption Error (mCE)1.03Unverified
9DGCNNmean Corruption Error (mCE)1Unverified
10OcCo-DGCNNmean Corruption Error (mCE)0.98Unverified
#ModelMetricClaimedVerifiedStatus
1OursAverage F182.8Unverified