3d-cnn

yukitsuji/3D_CNN_tensorflow

KITTI data processing and 3D CNN for Vehicle Detection

syamkakarla98/Satellite_Imagery_Analysis

Implementation of Machine Learning and Deep Learning techniques to find insights from the satellite data.

OValery16/Tutorial-about-3D-convolutional-network

Tutorial about 3D convolutional network

0aqz0/SLR

isolated & continuous sign language recognition using CNN+LSTM/3D CNN/GCN/Encoder-Decoder

suvojit-0x55aa/A2S2K-ResNet

A2S2K-ResNet: Attention-Based Adaptive Spectral-Spatial Kernel ResNet for Hyperspectral Image Classification

BubblyYi/Coronary-Artery-Tracking-via-3D-CNN-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')

josedolz/LiviaNET

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"

ELEKTRONN/elektronn3

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

josedolz/HyperDenseNet

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

DeepRank/deeprank

This repository has been integrated in https://github.com/DeepRank/deeprank2

yulequan/HeartSeg

code of DenseVoxNet and 3D-DSN

josedolz/HyperDenseNet_pytorch

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

alexandrosstergiou/Squeeze-and-Recursion-Temporal-Gates

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".

Naman-ntc/3D-HourGlass-Network

3D HourGlass Networks for Human Pose Estimation Through Videos

alexandrosstergiou/Saliency-Tubes-Visual-Explanations-for-Spatio-Temporal-Convolutions

[ICIP 2019] Implementation of Saliency Tubes for 3D Convolutions in Pytoch and Keras to localise the focus spatio-temporal regions of 3D CNNs.

LukasHedegaard/co3d

Official source code for "Continual 3D Convolutional Neural Networks for Real-time Processing of Videos" [ECCV2022]

ShoupingShan/Data_fusion_HSI_LiDAR

HSI and LiDAR image fusion based on Deep Learning

purbayankar/HybridSN-pytorch

A pytorch based implementation of Hybrid-Spectral-Net as in IEEE GRSL paper "HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification".

mahmad00/A-Fast-and-Compact-3-D-CNN-for-HSIC

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

swalpa/G2C-Conv3D-HSI

PyTorch implementation of the paper - Revisiting Deep Hyperspectral Feature Extraction Networks via Gradient Centralized Convolution

imranparuk/speaker-recognition-3d-cnn

Keras + pyTorch implimentation of "Deep Learning & 3D Convolutional Neural Networks for Speaker Verification"

rufernan/RicePAL

codes for RS paper: Rice-Yield Prediction with Multi-Temporal Sentinel-2 Data and 3D CNN: A Case Study in Nepal

lukereichold/VisualActionKit

Human action classification for video, offline and natively on iOS via Core ML

adasegroup/NEUROML2020

Machine Learning in Neuroimaging data, Fall 2020.

alexandrosstergiou/Class_Feature_Visualization_Pyramid

[ICCVW 2019] PyTorch code for Class Visualization Pyramid for intpreting spatio-temporal class-specific activations throughout the network

fitushar/WeaklySupervised-3D-Classification-of-Chest-CT-using-Aggregated-MultiResolution-Segmentation-Feature

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)

Tramac/DenseVoxNet-tensorflow

DenseVoxNet in TensorFlow

saikatdutta/NME-VFI

Non-linear Motion Estimation for Video Frame Interpolation using Space-time Convolutions

ahkarami/T3D

Temporal 3D ConvNet

albert100121/MLVR-Pytorch

A Pytorch implementation of The Visual Centrifuge: Model-Free Layered Video Representations.

IvanKuchin/pancreas_segmentation

Tensorflow implementation of a 3D-CNN U-net with Grid Attention and DSV for pancreas segmentation trained on CT-82.

divyakraman/ECCV2022_FARFourierAerialVideoRecognition

Aadityaza/3d-Growing-neural-cellular-automata

This project is inspired by the paper "Growing Neural Cellular Automata" found at the link: https://distill.pub/2020/growing-ca/. The project's objective is to develop an extension of the methodology described in this paper to enable the generation of complex structures in three dimensions.

alik604/bioMedical-imaging

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

ELEKTRONN/ELEKTRONN2

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