SOTAVerified

Point Cloud Classification

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 241–250 of 265 papers

TitleStatusHype
Imperceptible Transfer Attack and Defense on 3D Point Cloud Classification—0
Interpreting Hidden Semantics in the Intermediate Layers of 3D Point Cloud Classification Neural Network—0
LC-NAS: Latency Constrained Neural Architecture Search for Point Cloud Networks—0
Learnable Skeleton-Aware 3D Point Cloud Sampling—0
Learning Adaptive Neighborhoods for Graph Neural Networks—0
Learning-Based Biharmonic Augmentation for Point Cloud Classification—0
Learning Category-level Shape Saliency via Deep Implicit Surface Networks—0
Transformers in 3D Point Clouds: A Survey—0
Learning Rotation-Invariant Representations of Point Clouds Using Aligned Edge Convolutional Neural Networks—0
Leveraging PointNet and PointNet++ for Lyft Point Cloud Classification Challenge—0
Show:102550
← PrevPage 25 of 27Next →
All datasetsPointCloud-CISPRS

Benchmark Results

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