3d-cnn topic

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

ELEKTRONN

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

0aqz0

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 u...

BubblyYi

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 Video...

alexandrosstergiou

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

DeepRank

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

purbayankar

HSI and LiDAR image fusion based on Deep Learning

ShoupingShan

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

lukereichold

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

alexandrosstergiou

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

alexandrosstergiou