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 191–200 of 265 papers

TitleStatusHype
PointCutMix: Regularization Strategy for Point Cloud ClassificationCode1
Transformers in Vision: A Survey—0
Learning Rotation-Invariant Representations of Point Clouds Using Aligned Edge Convolutional Neural Networks—0
Geometry-Aware Self-Training for Unsupervised Domain Adaptation on Object Point CloudsCode1
Revisiting Point Cloud Classification with a Simple and Effective BaselineCode1
DeeperGCN: Training Deeper GCNs with Generalized Aggregation Functions—0
The Card Shuffling Hypotheses: Building a Time and Memory Efficient Graph Convolutional Network—0
GraNet: Global Relation-aware Attentional Network for ALS Point Cloud Classification—0
Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point CloudCode1
Classification of Single-View Object Point Clouds—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