A keras based implementation of Hybrid-Spectral-Net as in IEEE GRSL paper "HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification".
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Dec 23, 2023 - Jupyter Notebook
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3d-cnn
Here are 59 public repositories matching this topic...
KITTI data processing and 3D CNN for Vehicle Detection
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Apr 18, 2019 - Python
Tutorial about 3D convolutional network
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Oct 30, 2018 - Python
Implementation of Machine Learning and Deep Learning techniques to find insights from the satellite data.
python
deep-learning
analysis
clustering
data-visualization
python3
remote-sensing
classification
data-analysis
satellite-imagery
satellite-data
hacktoberfest
3d-cnn
satellite-imagery-analysis
mahine-learning
hacktoberfest-accepted
find-insights
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May 5, 2022 - Jupyter Notebook
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
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Updated
May 12, 2020 - 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
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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
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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
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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
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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
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Nov 20, 2019 - Python
This repository has been integrated in https://github.com/DeepRank/deeprank2
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Nov 28, 2023 - Python
code of DenseVoxNet and 3D-DSN
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Updated
Jul 17, 2017 - MATLAB
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
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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
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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
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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.
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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
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Updated
Dec 6, 2022 - 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
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Updated
May 18, 2018 - 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".
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May 18, 2021 - Python
The code is associated with the following paper "A Fast and Compact 3-D CNN for Hyperspectral Image Classification". IEEE Geoscience and Remote Sensing Letters
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Jan 14, 2022 - Jupyter Notebook
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