3d-classification
There are 26 repositories under 3d-classification topic.
QingyongHu/SoTA-Point-Cloud
š„[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey
nikitakaraevv/pointnet
PyTorch implementation of "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
maggie0106/Graph-CNN-in-3D-Point-Cloud-Classification
Code for A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION (ICASSP 2018)
Colin97/OpenShape_code
official code of āOpenShape: Scaling Up 3D Shape Representation Towards Open-World Understandingā
BubblyYi/Coronary-Artery-Tracking-via-3D-CNN-Classification
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 using a CNN-based orientation classiļ¬er')
ZFTurbo/classification_models_3D
Set of models for classifcation of 3D volumes
divanoLetto/3D_STEP_Classification
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 any loss of information.
engelnico/point-transformer
This is the official repository of the original Point Transformer architecture.
anindox8/Deep-Segmentation-Features-for-Weakly-Supervised-3D-Disease-Classification-in-Chest-CT
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).
minzhang-1/PointHop
PointHop: An Explainable Machine Learning Method for Point Cloud Classification
minzhang-1/PointHop2
PointHop++: A Lightweight Learning Model on Point Sets for 3D Classification
minzhang-1/PointHop-PointHop2_Spark
A fast and low memory requirement version of PointHop and PointHop++, which is built upon Apache Spark.
ZFTurbo/timm_3d
PyTorch Volume Models for 3D data
kentaroy47/kaggle-nflimpact-13thplace
Solution of team tara: Public 7th, Private 13th (The renewed pipeline scores 8th place)
mbiparva/mitorch
This package implements deep learning modules for medical imaging application in PyTorch (miTorch).
w00zie/3d_face_class
3D Face Classification with Graph Neural Networks
fitushar/multi-label-weakly-supervised-classification-of-body-ct
A rule-based algorithm enabled the automatic extraction of disease labels from tens of thousands of radiology reports. These weak labels were used to create deep learning models to classify multiple diseases for three different organ systems in body CT.
lukereichold/3D-MNIST-S4TF
3D MNIST Point Cloud Classifier using 3D ConvNet with Swift for TensorFlow
RuochenLiu/3D-Classification-Based-On-Rendered-Videos
ModelNet10 classification method based on rendered videos.
gimpong/ICCV23-IDPT
The code for the paper "Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models" (ICCV'23).
kondratevakate/mri-epilepsy-diagnosis
Automated detection of focal cortical dysplasia
edshkim98/3DMultiviewCNN
Implementation of Multi-view CNN for 3D classification evaluated on MoodleNet40 dataset.
nedleeds/OCTADeeplearning
This repository is for the Deep learning(Classification & XAI) part with 3D OCTA volumes.
itayle/MeshRunner
MeshRunner - Improved classification of 3D mesh objects
measaverb/RandAugment3D
RandAugment process for point cloud data to handle with 3D classification task
mrsingh-10/3d_classification
NNDL Project - 3D Object Classification