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 151–160 of 265 papers

TitleStatusHype
Explaining Deep Neural Networks for Point Clouds using Gradient-based Visualisations—0
Exploiting GPT-4 Vision for Zero-shot Point Cloud Understanding—0
The Card Shuffling Hypotheses: Building a Time and Memory Efficient Graph Convolutional Network—0
FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging—0
FatNet: A Feature-attentive Network for 3D Point Cloud Processing—0
FBPT: A Fully Binary Point Transformer—0
Feature Adversarial Distillation for Point Cloud Classification—0
Few-Data Guided Learning Upon End-to-End Point Cloud Network for 3D Face Recognition—0
Fourier Decomposition for Explicit Representation of 3D Point Cloud Attributes—0
3DCNN-DQN-RNN: A Deep Reinforcement Learning Framework for Semantic Parsing of Large-scale 3D 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