SOTAVerified

Point Cloud Classification

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

Papers

Showing 91100 of 265 papers

TitleStatusHype
AGConv: Adaptive Graph Convolution on 3D Point CloudsCode0
Point-LN: A Lightweight Framework for Efficient Point Cloud Classification Using Non-Parametric Positional EncodingCode0
Classifying point clouds at the facade-level using geometric features and deep learning networksCode0
Classifying Objects in 3D Point Clouds Using Recurrent Neural Network: A GRU LSTM Hybrid ApproachCode0
PointDGMamba: Domain Generalization of Point Cloud Classification via Generalized State Space ModelCode0
PointManifoldCut: Point-wise Augmentation in the Manifold for Point CloudsCode0
Equivariant vs. Invariant Layers: A Comparison of Backbone and Pooling for Point Cloud ClassificationCode0
Adversarial shape perturbations on 3D point cloudsCode0
EPiC: Ensemble of Partial Point Clouds for Robust ClassificationCode0
PatchAugment: Local Neighborhood Augmentation in Point Cloud ClassificationCode0
Show:102550
← PrevPage 10 of 27Next →

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