Awesome Open Source

Programming Languages

Search results for 3d convolutional network

3d-convolutional-network x

34 search results found

Minkowskiengine ⭐ 2,353

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

Lip Reading Deeplearning ⭐ 1,433

🔓 Lip Reading - Cross Audio-Visual Recognition using 3D Architectures

Medicalzoopytorch ⭐ 896

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

Kinetics_i3d_pytorch ⭐ 377

Inflated i3d network with inception backbone, weights transfered from tensorflow

Relation Shape Cnn ⭐ 252

Relation-Shape Convolutional Neural Network for Point Cloud Analysis (CVPR 2019 Oral & Best paper finalist)

Intelegent_lock ⭐ 167

lock mechanism with face recognition and liveness detection

Elektronn3 ⭐ 161

A PyTorch-based library for working with 3D and 2D convolutional neural networks, with focus on semantic segmentation of volumetric biomedical image data

Tutorial About 3d Convolutional Network ⭐ 136

Tutorial about 3D convolutional network

Livianet ⭐ 133

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

Humanbehaviorbku ⭐ 116

Abnormal Human Behaviors Detection/ Road Accident Detection From Surveillance Videos/ Real-World Anomaly Detection in Surveillance Videos/ C3D Feature Extraction

Hyperdensenet ⭐ 106

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

Densepoint ⭐ 80

DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing (ICCV 2019)

Minkloc3d ⭐ 78

MinkLoc3D: Point Cloud Based Large-Scale Place Recognition

Uniformer Pytorch ⭐ 74

Implementation of Uniformer, a simple attention and 3d convolutional net that achieved SOTA in a number of video classification tasks, debuted in ICLR 2022

Minklocmultimodal ⭐ 73

MinkLoc++: Lidar and Monocular Image Fusion for Place Recognition

Texturenet ⭐ 68

TextureNet: Consistent Local Parametrizations for Learning from High-Resolution Signals on Meshes

3d Convolutional Network ⭐ 57

Alzheimer disease diagnosis by Deeply Supervised 3D Convolutional Network

Minkloc3dv2 ⭐ 41

MinkLoc3Dv2: Improving Point Cloud Based Place Recognition with Ranking-based Loss and Large Batch Training

Saliency Tubes Visual Explanations For Spatio Temporal Convolutions ⭐ 31

Implementation of Saliency Tubes for 3D Convolutions in Pytoch and Keras to localise the focus spatio-temporal regions of 3D CNNs.

Hyperdensenet_pytorch ⭐ 29

Pytorch version of the HyperDenseNet deep neural network for multi-modal image segmentation

Human Activity Recognition ⭐ 26

Recognizing human activities using Deep Learning

Stconvs2s ⭐ 24

Code for the paper "STConvS2S: Spatiotemporal Convolutional Sequence to Sequence Network for Weather Forecasting" (Neurocomputing, Elsevier)

Deep_learning_for_manufacturing ⭐ 24

Bayesian Deep Learning and Deep Reinforcement Learning for Object Shape Error Response and Correction of Manufacturing Systems

Image Pretraining For Video ⭐ 15

[ECCV 2022] This repository includes the official implementation our paper "In Defense of Image Pre-Training for Spatiotemporal Recognition".

Deep Negative Volume ⭐ 12

Deep Negative Volume Segmentation - automated 3D CT segmentation of body joints for dentistry

St Clstm ⭐ 10

This is the UNOFFICIAL implementation of the ICCV 2019 paper 'Exploiting Temporal Consistency for Real-Time Video Depth Estimation'.

Behavioral Cloning Research ⭐ 8

End to End Steering Angle Prediction for Self-Driving Cars

EgoNN: Egocentric Neural Network for Point Cloud Based 6DoF Relocalization at the City Scale

Elektronn2 ⭐ 7

A highly configurable toolkit for training 3D/2D CNNs and general Neural Networks, based on Theano

Gliomaclassification Tensorflow ⭐ 6

In this project, a deep learning system is created to classify MRIs (volumetric) data from BRATS2015 to High/Low classes. The system comprises of data processing and 3d convolutional layers, 3d maxpool layers and functions to modularize similar group of layers to simplify the code. I used cross-validation to train and evaluate on 6 train/test sets with appropriate ratios of High/Low data.

Fastv2c Handnet ⭐ 6

Repository for the implementation of "FastV2C-HandNet: Fast Voxel to Coordinate Hand Pose Estimation with 3D Convolutional Neural Networks"

Grouped3dconvpytorch ⭐ 6

Implementation of grouped 3D convolutions (with backward) in Tensor Comprehensions.

Sstcn For Slr ⭐ 6

CVPR2021 Challenge

Biomedical Imaging ⭐ 5

Many-in-one repo: The "MNIST" of Brain Digits - Thought classification, Motor movement classification, 3D cancer detection, and Covid detection

1-34 of 34 search results

Privacy | About | Terms | Follow Us On Twitter

Copyright 2018-2024 Awesome Open Source. All rights reserved.