SOTAVerified

Point Cloud Classification

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

Papers

Showing 191200 of 265 papers

TitleStatusHype
CloudFort: Enhancing Robustness of 3D Point Cloud Classification Against Backdoor Attacks via Spatial Partitioning and Ensemble Prediction0
Cloud Transformers: A Universal Approach To Point Cloud Processing Tasks0
CLR-GAM: Contrastive Point Cloud Learning with Guided Augmentation and Feature Mapping0
Computation and Data Efficient Backdoor Attacks0
Connecting Multi-modal Contrastive Representations0
CT-block: a novel local and global features extractor for point cloud0
DeeperGCN: Training Deeper GCNs with Generalized Aggregation Functions0
Deep Learning-based 3D Point Cloud Classification: A Systematic Survey and Outlook0
Deep Learning-based Compressed Domain Multimedia for Man and Machine: A Taxonomy and Application to Point Cloud Classification0
Test-Time Augmentation for 3D Point Cloud Classification and Segmentation0
Show:102550
← PrevPage 20 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