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 1–10 of 265 papers

TitleStatusHype
Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud LearningCode3
FRACTAL: An Ultra-Large-Scale Aerial Lidar Dataset for 3D Semantic Segmentation of Diverse LandscapesCode3
Curvature Diversity-Driven Deformation and Domain Alignment for Point CloudCode2
Beyond Self-attention: External Attention using Two Linear Layers for Visual TasksCode2
Frozen Transformers in Language Models Are Effective Visual Encoder LayersCode2
Point Transformer V2: Grouped Vector Attention and Partition-based PoolingCode2
A Closer Look at Few-Shot 3D Point Cloud ClassificationCode1
3DCTN: 3D Convolution-Transformer Network for Point Cloud ClassificationCode1
CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-trainingCode1
Benchmarking and Analyzing Point Cloud Classification under CorruptionsCode1
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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