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 161–170 of 265 papers

TitleStatusHype
From depth image to semantic scene synthesis through point cloud classification and labeling: Application to assistive systems—0
Geometric Graph Filters and Neural Networks: Limit Properties and Discriminability Trade-offs—0
Topologically Persistent Features-based Object Recognition in Cluttered Indoor Environments—0
Global Context Aware Convolutions for 3D Point Cloud Understanding—0
GraNet: Global Relation-aware Attentional Network for ALS Point Cloud Classification—0
GTNet: Graph Transformer Network for 3D Point Cloud Classification and Semantic Segmentation—0
Haar Wavelet Feature Compression for Quantized Graph Convolutional Networks—0
Towards Training Stronger Video Vision Transformers for EPIC-KITCHENS-100 Action Recognition—0
Image and Point-cloud Classification for Jet Analysis in High-Energy Physics: A survey—0
Training or Architecture? How to Incorporate Invariance in Neural Networks—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