KITTI data processing and 3D CNN for Vehicle Detection
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Updated
Apr 18, 2019 - Python
KITTI data processing and 3D CNN for Vehicle Detection
Implementation of Machine Learning and Deep Learning techniques to find insights from the satellite data.
A keras based implementation of Hybrid-Spectral-Net as in IEEE GRSL paper "HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification".
code of DenseVoxNet and 3D-DSN
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"
This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.
isolated & continuous sign language recognition using CNN+LSTM/3D CNN/GCN/Encoder-Decoder
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')
A2S2K-ResNet: Attention-Based Adaptive Spectral-Spatial Kernel ResNet for Hyperspectral Image Classification
Tutorial about 3D convolutional network
This repository has been integrated in https://github.com/DeepRank/deeprank2
A PyTorch-based library for working with 3D and 2D convolutional neural networks, with focus on semantic segmentation of volumetric biomedical image data
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
HSI and LiDAR image fusion based on Deep Learning
Pytorch version of the HyperDenseNet deep neural network for multi-modal image segmentation
Keras + pyTorch implimentation of "Deep Learning & 3D Convolutional Neural Networks for Speaker Verification"
A pytorch based implementation of Hybrid-Spectral-Net as in IEEE GRSL paper "HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification".
3D HourGlass Networks for Human Pose Estimation Through Videos
A highly configurable toolkit for training 3D/2D CNNs and general Neural Networks, based on Theano
Machine Learning in Neuroimaging data, Fall 2020.
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