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A keras based implementation of Hybrid-Spectral-Net as in IEEE GRSL paper "HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification".
Created
2019-01-27
72 commits to master branch, last one 12 months ago
Implementation of Machine Learning and Deep Learning techniques to find insights from the satellite data.
Created
2021-01-07
28 commits to main branch, last one 2 years ago
A2S2K-ResNet: Attention-Based Adaptive Spectral-Spatial Kernel ResNet for Hyperspectral Image Classification
Created
2020-05-31
20 commits to master branch, last one 2 years ago
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...
Created
2020-08-07
23 commits to master branch, last one 3 years ago
A PyTorch-based library for working with 3D and 2D convolutional neural networks, with focus on semantic segmentation of volumetric biomedical image data
Created
2017-12-11
988 commits to master branch, last one about a year ago
This repository has been integrated in https://github.com/DeepRank/deeprank2
This repository has been archived
(exclude archived)
Created
2017-09-12
1,129 commits to master branch, last one about a year ago
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...
Created
2020-05-19
25 commits to master branch, last one 2 years ago
Official source code for "Continual 3D Convolutional Neural Networks for Real-time Processing of Videos" [ECCV2022]
Created
2021-05-31
283 commits to main branch, last one 2 years ago
A pytorch based implementation of Hybrid-Spectral-Net as in IEEE GRSL paper "HybridSN: Exploring 3D-2D CNN Feature Hierarchy for Hyperspectral Image Classification".
Created
2021-05-18
11 commits to main branch, last one 3 years ago