KITTI data processing and 3D CNN for Vehicle Detection
-
Updated
Apr 18, 2019 - Python
#
3d-cnn
Here are 44 public repositories matching this topic...
isolated & continuous sign language recognition using CNN+LSTM/3D CNN/GCN/Encoder-Decoder
deep-learning seq lstm gcn encoder-decoder 3d-cnn slr sign-language-recognition-system cnn-lstm sign-language-recognition sign-language-translation
-
Updated
May 12, 2020 - Python
Tutorial about 3D convolutional network
-
Updated
Oct 30, 2018 - Python
A2S2K-ResNet: Attention-Based Adaptive Spectral-Spatial Kernel ResNet for Hyperspectral Image Classification
cnn remote-sensing colab image-classification residual-networks hyperspectral-image-classification hyperspectral 3d-cnn hyperspectral-imaging colaboratory colab-notebook
-
Updated
Nov 25, 2022 - Python
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')
deep-learning pytorch centerline centerline-detection vessel medical-image-processing 3d-cnn 3d-classification coronary-artery centerline-extraction 3d-cnn-tracker blood-vessel
-
Updated
Aug 30, 2021 - Python
A PyTorch-based library for working with 3D and 2D convolutional neural networks, with focus on semantic segmentation of volumetric biomedical image data
pytorch convolutional-neural-networks electron-microscopy semantic-segmentation biomedical-image-processing 3d-convolutional-network 3d-cnn
-
Updated
Dec 6, 2023 - Python
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"
deep-neural-networks theano deep-learning cnn mri medical-imaging neural-networks deep-learning-algorithms neuroimaging convolutional-networks convolutional-neural-networks image-segmentation neuroimage medical-image-processing 3d-convolutional-network 3d-cnn medical-image-analysis medical-image-segmentation brain-segmentation
-
Updated
Nov 20, 2019 - Python
This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.
deep-neural-networks theano deep-learning cnn neural-networks deep-learning-algorithms segmentation densenet fcn convolutional-neural-networks image-segmentation medical-image-processing 3d-convolutional-network 3d-cnn medical-image-analysis medical-image-segmentation brain-segmentation hyperdensenet multi-modal-imaging segment-medical-images
-
Updated
Nov 20, 2019 - Python
This repository has been integrated in https://github.com/DeepRank/deeprank2
-
Updated
Nov 28, 2023 - Python
Pytorch version of the HyperDenseNet deep neural network for multi-modal image segmentation
deep-learning pytorch segmentation image-segmentation medical-image-processing 3d-convolutional-network 3d-cnn pytorch-cnn medical-image-segmentation hyperdensenet multi-modal-imaging multi-modal-learning
-
Updated
Nov 20, 2019 - Python
Code for : [Pattern Recognit. Lett. 2021] "Learn to cycle: Time-consistent feature discovery for action recognition" and [IJCNN 2021] "Multi-Temporal Convolutions for Human Action Recognition in Videos".
activity-recognition pytorch action-recognition hacs 3d-cnn spatio-temporal-modeling kinetics-datasets recursion-temporal-gates moments-in-time
-
Updated
Aug 31, 2022 - Python
3D HourGlass Networks for Human Pose Estimation Through Videos
pytorch inflation pose-estimation 3d-cnn 3d-human-pose hourglass-network inflated-network human36m inflat
-
Updated
Oct 28, 2018 - Python
[ICIP 2019] Implementation of Saliency Tubes for 3D Convolutions in Pytoch and Keras to localise the focus spatio-temporal regions of 3D CNNs.
-
Updated
Apr 2, 2020 - Python
Official source code for "Continual 3D Convolutional Neural Networks for Real-time Processing of Videos" [ECCV2022]
deep-learning cnn pytorch convolutional-neural-networks human-activity-recognition 3d-cnn continual-inference
-
Updated
Dec 6, 2022 - Python
A pytorch based implementation of Hybrid-Spectral-Net as in IEEE GRSL paper "HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification".
-
Updated
May 18, 2021 - Python
HSI and LiDAR image fusion based on Deep Learning
deep-learning tensorflow pytorch hyperspectral-image-classification data-fusion 3d-cnn hsi lidar-image-fusion
-
Updated
May 18, 2018 - Python
Keras + pyTorch implimentation of "Deep Learning & 3D Convolutional Neural Networks for Speaker Verification"
keras pytorch speaker-recognition speaker-verification 3d-cnn pytorch-implmention speaker-identification keras-implimentation
-
Updated
Jan 23, 2019 - Python
This Repo contains the updated implementation of our paper "Weakly supervised 3D classification of chest CT using aggregated multi-resolution deep segmentation features", Proc. SPIE 11314, Medical Imaging 2020: Computer-Aided Diagnosis, 1131408 (16 March 2020)
deep-learning multi-label-classification tfrecords 3d multi-resolution weakly-supervised-learning 3d-cnn segmentation-models tensorflow2 ct-imaging segmentation-features lung-disease feature-aggregation densevnet3d spie-cad weighted-loss weakly-supervised-classification multi-label-loss weight-binary-crossentrophy spie-cad-2020
-
Updated
Jun 18, 2020 - Python
[ICCVW 2019] PyTorch code for Class Visualization Pyramid for intpreting spatio-temporal class-specific activations throughout the network
-
Updated
Mar 9, 2020 - Python
DenseVoxNet in TensorFlow
-
Updated
Apr 2, 2019 - Python
Improve this page
Add a description, image, and links to the 3d-cnn topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the 3d-cnn topic, visit your repo's landing page and select "manage topics."