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Point Cloud Classification

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보존된 평가 기록: 25

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

코드

관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/ACEsuit/BIPs.jl

공식 코드

BIP: Boost Invariant Polynomials for Efficient Jet Tagging

https://github.com/AliBahri94/SVWA_TTA

공식 코드

Test-Time Adaptation in Point Clouds: Leveraging Sampling Variation with Weight Averaging

https://github.com/AnnikaStein/Adversarial-Training-for-Jet-Tagging

공식 코드

Improving Robustness of Jet Tagging Algorithms with Adversarial Training

https://github.com/AutodeskAILab/RobustPointSet

공식 코드

RobustPointSet: A Dataset for Benchmarking Robustness of Point Cloud Classifiers

https://github.com/CVMI-Lab/PAConv

공식 코드

PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds

https://github.com/DIUDIUDIUDIUDIU/AdvectiveNet-An-Eulerian-Lagrangian-Fluidic-Reservoir-for-Point-Cloud-Processing

공식 코드

AdvectiveNet: An Eulerian-Lagrangian Fluidic reservoir for Point Cloud Processing

https://github.com/Daniel-Liu-c0deb0t/Adversarial-point-perturbations-on-3D-objects

공식 코드

Adversarial shape perturbations on 3D point clouds

https://github.com/EricDai0/3DASC

공식 코드

Transferable 3D Adversarial Shape Completion using Diffusion Models

https://github.com/IdanAchituve/DefRec_and_PCM

공식 코드

Curvature Diversity-Driven Deformation and Domain Alignment for Point Cloud

https://github.com/KaidongLi/pytorch-LatticePointClassifier

공식 코드

Robust Structured Declarative Classifiers for 3D Point Clouds: Defending Adversarial Attacks with Implicit Gradients

https://github.com/MenghaoGuo/-EANet

공식 코드

Beyond Self-attention: External Attention using Two Linear Layers for Visual Tasks

https://github.com/MenghaoGuo/PCT

공식 코드

PCT: Point cloud transformer

https://github.com/MingyeXu/GS-Net

공식 코드

Geometry Sharing Network for 3D Point Cloud Classification and Segmentation

https://github.com/PeppaWu/SPT

공식 코드

Spiking Point Transformer for Point Cloud Classification

https://github.com/Pointcept/PointTransformerV2

공식 코드

Point Transformer V2: Grouped Vector Attention and Partition-based Pooling

https://github.com/Pointcept/Pointcept

공식 코드

Point Transformer V2: Grouped Vector Attention and Partition-based Pooling

https://github.com/Rennes-LiDAR-Platform/lidar_platform

공식 코드

3DMASC: Accessible, explainable 3D point clouds classification. Application to Bi-spectral Topo-bathymetric lidar data

https://github.com/RosettaWYzhang/AdaPC

공식 코드

On Automatic Data Augmentation for 3D Point Cloud Classification

https://github.com/RyanHangZhou/DUP-Net

공식 코드

DUP-Net: Denoiser and Upsampler Network for 3D Adversarial Point Clouds Defense

https://github.com/ShiQiu0419/DRNet

공식 코드

Dense-Resolution Network for Point Cloud Classification and Segmentation

https://github.com/ShiQiu0419/GBNet

공식 코드

Geometric Back-projection Network for Point Cloud Classification

https://github.com/SiyuanHuang95/SUG

공식 코드

SUG: Single-dataset Unified Generalization for 3D Point Cloud Classification

https://github.com/VimsLab/Local3DFeatures

공식 코드

Local Neighborhood Features for 3D Classification

https://github.com/ViniciusMikuni/PCT_HEP

공식 코드

Point Cloud Transformers applied to Collider Physics

https://github.com/WangYueFt/dgcnn

공식 코드

Dynamic Graph CNN for Learning on Point Clouds

https://github.com/Xharlie/Grid-GCN

공식 코드

Grid-GCN for Fast and Scalable Point Cloud Learning

https://github.com/Yochengliu/Relation-Shape-CNN

공식 코드

Relation-Shape Convolutional Neural Network for Point Cloud Analysis

https://github.com/aaronw5/Interpreting-Transformers-for-Jet-Tagging

공식 코드

Interpreting Transformers for Jet Tagging

https://github.com/abogatskiy/pelican-nano

공식 코드

19 Parameters Is All You Need: Tiny Neural Networks for Particle Physics

https://github.com/aidos-lab/DECT-evaluation

공식 코드

Differentiable Euler Characteristic Transforms for Shape Classification

https://github.com/aidos-lab/dect

공식 코드

Differentiable Euler Characteristic Transforms for Shape Classification

https://github.com/ali-chr/Transductive_ZSL_3D_Point_Cloud

공식 코드

Transductive Zero-Shot Learning for 3D Point Cloud Classification

https://github.com/ali-stanford/pointnet_kan_graphic

공식 코드

PointNet with KAN versus PointNet with MLP for 3D Classification and Segmentation of Point Sets

https://github.com/alibaba-mmai-research/TAdaConv

공식 코드

Towards Training Stronger Video Vision Transformers for EPIC-KITCHENS-100 Action Recognition

https://github.com/alibahri94/smart-pc

공식 코드

SMART-PC: Skeletal Model Adaptation for Robust Test-Time Training in Point Clouds

https://github.com/asalarpour/Point_GN

공식 코드

Point-GN: A Non-Parametric Network Using Gaussian Positional Encoding for Point Cloud Classification

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