3d-classification topic

🔥[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey

QingyongHu

The PyTorch re-implement of a 3D CNN Tracker to extract coronary artery centerlines with state-of-the-art (SOTA) performance. (paper: 'Coronary artery centerline extraction in cardiac CT angiography u...

BubblyYi

Code for A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION (ICASSP 2018)

maggie0106

PyTorch implementation of "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593

nikitakaraevv

Weakly supervised 3D classification of multi-disease chest CT scans using multi-resolution deep segmentation features via dual-stage CNN architecture (DenseVNet, 3D Residual U-Net).

anindox8

PointHop: An Explainable Machine Learning Method for Point Cloud Classification

minzhang-1

This is the official repository of the original Point Transformer architecture.

engelnico

official code of “OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding”

Colin97

PointHop++: A Lightweight Learning Model on Point Sets for 3D Classification

minzhang-1

A new approach for retrieval and classification of 3D models that directly performs in the CAD format without any format conversion to other representations like point clouds of meshes, thus avoiding...

divanoLetto