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 121–130 of 265 papers

TitleStatusHype
NPTC-net: Narrow-Band Parallel Transport Convolutional Neural Network on Point Clouds—0
Evaluating Machine Learning Models with NERO: Non-Equivariance Revealed on Orbits—0
Classification of Aerial Photogrammetric 3D Point Clouds—0
Interpreting Hidden Semantics in the Intermediate Layers of 3D Point Cloud Classification Neural Network—0
Meta Episodic learning with Dynamic Task Sampling for CLIP-based Point Cloud Classification—0
LC-NAS: Latency Constrained Neural Architecture Search for Point Cloud Networks—0
Equivariance with Learned Canonicalization Functions—0
CausalPC: Improving the Robustness of Point Cloud Classification by Causal Effect Identification—0
3D Point Cloud Completion with Geometric-Aware Adversarial Augmentation—0
Understanding Key Point Cloud Features for Development Three-dimensional Adversarial Attacks—0
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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