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 76–100 of 265 papers

TitleStatusHype
PointNorm: Dual Normalization is All You Need for Point Cloud AnalysisCode1
Point-GN: A Non-Parametric Network Using Gaussian Positional Encoding for Point Cloud ClassificationCode1
PointHop++: A Lightweight Learning Model on Point Sets for 3D ClassificationCode1
ViewNet: A Novel Projection-Based Backbone With View Pooling for Few-Shot Point Cloud ClassificationCode1
Dynamic Graph CNN for Learning on Point CloudsCode1
Dynamic Local Feature Aggregation for Learning on Point CloudsCode1
A comprehensive overview of deep learning techniques for 3D point cloud classification and semantic segmentation—0
CT-block: a novel local and global features extractor for point cloud—0
Interpreting Hidden Semantics in the Intermediate Layers of 3D Point Cloud Classification Neural Network—0
A Learnable Self-supervised Task for Unsupervised Domain Adaptation on Point Clouds—0
A Network Architecture for Point Cloud Classification via Automatic Depth Images Generation—0
Imperceptible Transfer Attack and Defense on 3D Point Cloud Classification—0
Connecting Multi-modal Contrastive Representations—0
Computation and Data Efficient Backdoor Attacks—0
LC-NAS: Latency Constrained Neural Architecture Search for Point Cloud Networks—0
CLR-GAM: Contrastive Point Cloud Learning with Guided Augmentation and Feature Mapping—0
Airborne LiDAR Point Cloud Classification with Graph Attention Convolution Neural Network—0
Cloud Transformers: A Universal Approach To Point Cloud Processing Tasks—0
CloudFort: Enhancing Robustness of 3D Point Cloud Classification Against Backdoor Attacks via Spatial Partitioning and Ensemble Prediction—0
AIQViT: Architecture-Informed Post-Training Quantization for Vision Transformers—0
A Benchmark Grocery Dataset of Realworld Point Clouds From Single View—0
CLIP-based Point Cloud Classification via Point Cloud to Image Translation—0
FatNet: A Feature-attentive Network for 3D Point Cloud Processing—0
A Hybrid Generative and Discriminative PointNet on Unordered Point Sets—0
FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging—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