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Topic: "3d-classification"

QingyongHu/SoTA-Point-Cloud

šŸ”„[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey

Size: 2.27 MB - Last synced at: about 2 months ago - Pushed at: almost 4 years ago - Stars: 1,604 - Forks: 189

Colin97/OpenShape_code

official code of ā€œOpenShape: Scaling Up 3D Shape Representation Towards Open-World Understandingā€

Language: Python - Size: 3.37 MB - Last synced at: 2 days ago - Pushed at: 2 months ago - Stars: 268 - Forks: 19

maggie0106/Graph-CNN-in-3D-Point-Cloud-Classification

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

Language: Python - Size: 3.13 MB - Last synced at: about 2 months ago - Pushed at: over 6 years ago - Stars: 247 - Forks: 65

nikitakaraevv/pointnet

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

Language: Jupyter Notebook - Size: 9.08 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 236 - Forks: 61

ZFTurbo/classification_models_3D

Set of models for classifcation of 3D volumes

Language: Python - Size: 132 KB - Last synced at: about 23 hours ago - Pushed at: about 1 year ago - Stars: 171 - Forks: 29

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')

Language: Python - Size: 1.32 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 164 - Forks: 37

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.

Language: Python - Size: 4.04 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 65 - Forks: 12

ZFTurbo/timm_3d

PyTorch Volume Models for 3D data

Language: Python - Size: 1.72 MB - Last synced at: 4 days ago - Pushed at: 10 months ago - Stars: 58 - Forks: 5

3dlg-hcvc/DuoduoCLIP

[ICLR 2025] Duoduo CLIP: Efficient 3D Understanding with Multi-View Images

Language: Python - Size: 51.5 MB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 51 - Forks: 3

engelnico/point-transformer

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

Language: Python - Size: 566 KB - Last synced at: almost 2 years ago - Pushed at: about 3 years ago - Stars: 31 - Forks: 6

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).

Language: Python - Size: 4.47 MB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 27 - Forks: 3

minzhang-1/PointHop

PointHop: An Explainable Machine Learning Method for Point Cloud Classification

Language: Python - Size: 406 MB - Last synced at: about 2 months ago - Pushed at: almost 5 years ago - Stars: 21 - Forks: 6

minzhang-1/PointHop2

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

Language: Python - Size: 12.4 MB - Last synced at: about 2 months ago - Pushed at: almost 5 years ago - Stars: 18 - Forks: 3

minzhang-1/PointHop-PointHop2_Spark

A fast and low memory requirement version of PointHop and PointHop++, which is built upon Apache Spark.

Language: Python - Size: 23.4 KB - Last synced at: about 2 months ago - Pushed at: almost 5 years ago - Stars: 10 - Forks: 2

kentaroy47/kaggle-nflimpact-13thplace

Solution of team tara: Public 7th, Private 13th (The renewed pipeline scores 8th place)

Language: Jupyter Notebook - Size: 15.5 MB - Last synced at: about 2 months ago - Pushed at: over 4 years ago - Stars: 9 - Forks: 0

w00zie/3d_face_class

3D Face Classification with Graph Neural Networks

Language: Python - Size: 26.5 MB - Last synced at: 7 months ago - Pushed at: over 4 years ago - Stars: 9 - Forks: 3

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.

Language: Python - Size: 1.78 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 8 - Forks: 1

mbiparva/mitorch

This package implements deep learning modules for medical imaging application in PyTorch (miTorch).

Language: Python - Size: 622 KB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 8 - Forks: 1

lukereichold/3D-MNIST-S4TF

3D MNIST Point Cloud Classifier using 3D ConvNet with Swift for TensorFlow

Language: Jupyter Notebook - Size: 73.2 KB - Last synced at: 1 day ago - Pushed at: almost 5 years ago - Stars: 7 - Forks: 2

RuochenLiu/3D-Classification-Based-On-Rendered-Videos

ModelNet10 classification method based on rendered videos.

Language: Python - Size: 91.9 MB - Last synced at: about 2 months ago - Pushed at: over 5 years ago - Stars: 5 - Forks: 1

gimpong/ICCV23-IDPT Fork of zyh16143998882/ICCV23-IDPT

The code for the paper "Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models" (ICCV'23).

Language: Python - Size: 931 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 4 - Forks: 0

edshkim98/3DMultiviewCNN

Implementation of Multi-view CNN for 3D classification evaluated on MoodleNet40 dataset.

Language: Jupyter Notebook - Size: 1010 KB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 2 - Forks: 0

kondratevakate/mri-epilepsy-diagnosis

Automated detection of focal cortical dysplasia

Language: Jupyter Notebook - Size: 76.2 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 3

itayle/MeshRunner

MeshRunner - Improved classification of 3D mesh objects

Language: Python - Size: 731 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

measaverb/RandAugment3D

RandAugment process for point cloud data to handle with 3D classification task

Language: Python - Size: 192 KB - Last synced at: 10 months ago - Pushed at: about 5 years ago - Stars: 1 - Forks: 0

mrsingh-10/3d_classification

NNDL Project - 3D Object Classification

Language: Jupyter Notebook - Size: 63 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

nedleeds/OCTADeeplearning

This repository is for the Deep learning(Classification & XAI) part with 3D OCTA volumes.

Language: Python - Size: 224 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

Related Topics
pytorch 8 point-cloud 7 deep-learning 7 classification 6 3d-segmentation 5 machine-learning 4 convolutional-neural-networks 4 3d 3 3d-models 3 segmentation 3 3d-resnet 2 cnn 2 tensorflow 2 pretrained-models 2 attention-mechanism 2 3d-shape-retrieval 2 medical-image-processing 2 3d-understanding 2 3d-cnn 2 graph-neural-networks 2 weakly-supervised-learning 2 graph-convolutional-networks 1 graph-convolutional-neural-networks 1 pointcloud 1 vessel 1 3d-mesh 1 rnn 1 3d-graphics 1 coronary-artery 1 autoaugment 1 data-augmentation 1 3d-convolutional-network 1 3d-maxvit 1 cad 1 graph-convolutional-network 1 nndl 1 graph-cnn 1 graph 1 gcnn 1 gcn 1 feedforward 1 feature-extraction 1 spark 1 python 1 pyspark 1 pca 1 least-square-regression 1 knn 1 liver-disease 1 liver-disease-prediction 1 multi-label-disease 1 multi-label-disease-classification 1 multi-label-image-classification 1 rule-based-modeling 1 tensorflow2 1 kaggle 1 video-recognition 1 clip 1 multi-modal-learning 1 image-generation 1 point-cloud-caption 1 zero-shot-classification 1 zero-shot-retrieval 1 image-classification 1 keras 1 3d-vgg 1 densenet-pytorch 1 efficientnet 1 maxvit 1 timm 1 vgg 1 3d-deep-learning 1 3d-detection 1 3d-tracking 1 instance-segmentation 1 pointclouds 1 semantic-segmentation 1 ct 1 ct-scan-images 1 kidney 1 kidney-disease 1 kidney-disease-prediction 1 geometric-deep-learning 1 gnn 1 gnns 1 graph-neural-network 1 meshes 1 torch 1 princeton-modelnet 1 rendered-videos 1 3d-point-cloud 1 3d-pointclouds 1 modelnet 1 modelnet-dataset 1 modelnet40 1 multi-head-attention 1 shapenet-dataset 1 shapenetpart 1 cad-classification 1 cad-retrieval 1