3d-classification

There are 3 repositories under 3d-classification topic.

The-Learning-And-Vision-Atelier-LAVA / SoTA-Point-Cloud
🔥[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey
pointclouds 3d-deep-learning 3d-classification 3d-detection 3d-tracking 3d-segmentation semantic-segmentation instance-segmentation
1245
maggie0106 / Graph-CNN-in-3D-Point-Cloud-Classification
Code for A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION (ICASSP 2018)
graph-convolutional-networks point-cloud graph gcn gcnn graph-cnn 3d-classification pointcloud convolutional-neural-networks graph-convolutional-neural-networks graph-convolutional-network
Language:Python 228
nikitakaraevv / pointnet
PyTorch implementation of "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
3d-classification classification computer-vision deep-learning point-cloud pointnet pytorch segmentation
Language:Jupyter Notebook 153
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 classiﬁer')
3d-cnn 3d-classification pytorch coronary-artery centerline-extraction 3d-cnn-tracker centerline medical-image-processing deep-learning blood-vessel vessel centerline-detection
Language:Python 110
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).
3d-classification convolutional-neural-networks ct-imaging deep-learning densevnet feature-aggregation lung-disease multi-resolution resnet50 segmentation-features tensorflow-estimator weakly-supervised-learning
Language:Python 24
minzhang-1 / PointHop
PointHop: An Explainable Machine Learning Method for Point Cloud Classification
point-cloud classification feedforward machine-learning 3d-classification
Language:Python 15
engelnico / point-transformer
This is the official repository of the original Point Transformer architecture.
3d-point-cloud 3d-pointclouds 3d-classification pytorch deep-learning transformer-architecture 3d-segmentation classification segmentation modelnet-dataset modelnet modelnet40 shapenet-dataset shapenetpart transformer attention-mechanism multi-head-attention sortnet
Language:Python 13
minzhang-1 / PointHop2
PointHop++: A Lightweight Learning Model on Point Sets for 3D Classification
point-cloud 3d-classification classification 3d-graphics
Language:Python 12
minzhang-1 / PointHop-PointHop2_Spark
A fast and low memory requirement version of PointHop and PointHop++, which is built upon Apache Spark.
spark 3d point-cloud classification 3d-classification knn pca pyspark python feature-extraction least-square-regression
Language:Python 8
lukereichold / 3D-MNIST-S4TF
3D MNIST Point Cloud Classifier using 3D ConvNet with Swift for TensorFlow
3d-classification 3d-object-detection 3dmnist cnn convolutional-neural-networks jupyter-notebook mnist-classification s4tf swift swift-for-tensorflow tensorflow
Language:Jupyter Notebook 7
w00zie / 3d_face_class
3D Face Classification with Graph Neural Networks
3d-classification graph-neural-networks gnn torch geometric-deep-learning face-classification meshes 3d-face gnns graph-neural-network attention-mechanism attention
Language:Python 6
kentaroy47 / kaggle-nflimpact-13thplace
Solution of team tara: Public 7th, Private 13th (The renewed pipeline scores 8th place)
kaggle 3d-classification video-recognition pytorch
Language:Jupyter Notebook 5
mbiparva / mitorch
This package implements deep learning modules for medical imaging application in PyTorch (miTorch).
deep-learning medical-imaging 3d-segmentation 3d-classification pytorch unet
Language:Python 5
RuochenLiu / 3D-Classification-Based-On-Rendered-Videos
ModelNet10 classification method based on rendered videos.
3d-classification convolutional-neural-networks princeton-modelnet rendered-videos
Language:Python 4
edshkim98 / 3DMultiviewCNN
Implementation of Multi-view CNN for 3D classification evaluated on MoodleNet40 dataset.
mvcnn 3d-classification 3d-multiviewcnn
Language:Jupyter Notebook 2
kondratevakate / mri-epilepsy-diagnosis
Automated detection of focal cortical dysplasia
3d-models medical-image-processing medical-image-analysis pytorch-deeplearning segmentation 3d-classification fader-networks 3d-autoencoders mri detection mri-images
Language:Jupyter Notebook 2
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.
weakly-supervised-learning ct-scan-images rule-based-modeling 3d-segmentation 3d 3d-classification tensorflow2 3d-resnet ct liver-disease kidney kidney-disease-prediction kidney-disease liver-disease-prediction multi-label-image-classification multi-label-disease machine-learning multi-label-disease-classification
Language:Python 1
kim-younghan / RandAugment3D
RandAugment process for point cloud data to handle with 3D classification task
machine-learning deep-learning autoaugment data-augmentation 3d-classification
Language:Python 1

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