Topic: 3d-classification Goto Github
Some thing interesting about 3d-classification
Some thing interesting about 3d-classification
3d-classification,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).
User: anindox8
3d-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')
User: bubblyyi
3d-classification,official code of “OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding”
User: colin97
Home Page: https://colin97.github.io/OpenShape/
3d-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.
User: divanoletto
3d-classification,Implementation of Multi-view CNN for 3D classification evaluated on MoodleNet40 dataset.
User: edshkim98
3d-classification,This is the official repository of the original Point Transformer architecture.
User: engelnico
Home Page: https://ieeexplore.ieee.org/document/9552005
3d-classification,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.
User: fitushar
3d-classification,MeshRunner - Improved classification of 3D mesh objects
User: itayle
3d-classification,Solution of team tara: Public 7th, Private 13th (The renewed pipeline scores 8th place)
User: kentaroy47
3d-classification,Automated detection of focal cortical dysplasia
User: kondratevakate
3d-classification,3D MNIST Point Cloud Classifier using 3D ConvNet with Swift for TensorFlow
User: lukereichold
Home Page: https://lukereichold.com/blog/posts/3d-mnist-swift-for-tensorflow/
3d-classification,Code for A GRAPH-CNN FOR 3D POINT CLOUD CLASSIFICATION (ICASSP 2018)
User: maggie0106
3d-classification,This package implements deep learning modules for medical imaging application in PyTorch (miTorch).
User: mbiparva
3d-classification,RandAugment process for point cloud data to handle with 3D classification task
User: measaverb
3d-classification,PointHop: An Explainable Machine Learning Method for Point Cloud Classification
User: minzhang-1
3d-classification,A fast and low memory requirement version of PointHop and PointHop++, which is built upon Apache Spark.
User: minzhang-1
3d-classification,PointHop++: A Lightweight Learning Model on Point Sets for 3D Classification
User: minzhang-1
3d-classification,NNDL Project - 3D Object Classification
User: mrsingh-10
3d-classification,This repository is for the Deep learning(Classification & XAI) part with 3D OCTA volumes.
User: nedleeds
3d-classification,PyTorch implementation of "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
User: nikitakaraevv
3d-classification,🔥[IEEE TPAMI 2020] Deep Learning for 3D Point Clouds: A Survey
User: qingyonghu
3d-classification,ModelNet10 classification method based on rendered videos.
User: ruochenliu
3d-classification,3D Face Classification with Graph Neural Networks
User: w00zie
3d-classification,Set of models for classifcation of 3D volumes
User: zfturbo
3d-classification,PyTorch Volume Models for 3D data
User: zfturbo
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