SOTAVerified

Point Cloud Classification

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

Papers

Showing 51100 of 265 papers

TitleStatusHype
Learnable Lookup Table for Neural Network QuantizationCode1
Exploiting Inductive Bias in Transformer for Point Cloud Classification and SegmentationCode1
3DCTN: 3D Convolution-Transformer Network for Point Cloud ClassificationCode1
Collect-and-Distribute Transformer for 3D Point Cloud AnalysisCode1
LPF-Defense: 3D Adversarial Defense based on Frequency AnalysisCode1
Implicit Convolutional Kernels for Steerable CNNsCode1
Robust Point Cloud Processing through Positional EmbeddingCode1
Robust 3D Point Clouds Classification based on Declarative DefendersCode1
ASSANet: An Anisotropic Separable Set Abstraction for Efficient Point Cloud Representation LearningCode1
MATE: Masked Autoencoders are Online 3D Test-Time LearnersCode1
APP-Net: Auxiliary-point-based Push and Pull Operations for Efficient Point Cloud ClassificationCode1
Deep Declarative Networks: A New HopeCode1
APSNet: Attention Based Point Cloud SamplingCode1
Learning Geometry-Disentangled Representation for Complementary Understanding of 3D Object Point CloudCode1
ModelNet-O: A Large-Scale Synthetic Dataset for Occlusion-Aware Point Cloud ClassificationCode1
Deep SetsCode1
MOPS-Net: A Matrix Optimization-driven Network forTask-Oriented 3D Point Cloud DownsamplingCode1
DeltaConv: Anisotropic Operators for Geometric Deep Learning on Point CloudsCode1
Parameter-Efficient Person Re-identification in the 3D SpaceCode1
PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point CloudsCode1
Pix4Point: Image Pretrained Standard Transformers for 3D Point Cloud UnderstandingCode1
Differentiable Euler Characteristic Transforms for Shape ClassificationCode1
Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point ModelingCode1
Point Cloud Augmentation with Weighted Local TransformationsCode1
Benchmarking and Analyzing Point Cloud Classification under CorruptionsCode1
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 segmentation0
CT-block: a novel local and global features extractor for point cloud0
Interpreting Hidden Semantics in the Intermediate Layers of 3D Point Cloud Classification Neural Network0
A Learnable Self-supervised Task for Unsupervised Domain Adaptation on Point Clouds0
A Network Architecture for Point Cloud Classification via Automatic Depth Images Generation0
Imperceptible Transfer Attack and Defense on 3D Point Cloud Classification0
Connecting Multi-modal Contrastive Representations0
Computation and Data Efficient Backdoor Attacks0
LC-NAS: Latency Constrained Neural Architecture Search for Point Cloud Networks0
CLR-GAM: Contrastive Point Cloud Learning with Guided Augmentation and Feature Mapping0
Airborne LiDAR Point Cloud Classification with Graph Attention Convolution Neural Network0
Cloud Transformers: A Universal Approach To Point Cloud Processing Tasks0
CloudFort: Enhancing Robustness of 3D Point Cloud Classification Against Backdoor Attacks via Spatial Partitioning and Ensemble Prediction0
AIQViT: Architecture-Informed Post-Training Quantization for Vision Transformers0
A Benchmark Grocery Dataset of Realworld Point Clouds From Single View0
CLIP-based Point Cloud Classification via Point Cloud to Image Translation0
FatNet: A Feature-attentive Network for 3D Point Cloud Processing0
A Hybrid Generative and Discriminative PointNet on Unordered Point Sets0
FA-KPConv: Introducing Euclidean Symmetries to KPConv via Frame Averaging0
Show:102550
← PrevPage 2 of 6Next →

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