GitHub

DeepMRI: Exploiting deep residual network for fast parallel MR imaging with complex convolution

This repository contains the implementation of DeepMRI for parallel MR imaging using Tensorflow-gpu. Test code for Matlab and test data are also included. For a quick test, the trained weights can be ...
IEEE

Hyperspectral Image Classification Based on 3-D Octave Convolution With Spatial–Spectral Attention Network

Abstract: In recent years, with the development of deep learning (DL), the hyperspectral image (HSI) classification methods based on DL have shown superior performance. Although these DL-based methods ...
IEEE

Convolution Transformer Mixer for Hyperspectral Image Classification

Abstract: Hyperspectral image (HSI) can provide rich spectral information which can be helpful for accurate classification in many applications. Yet, incorporating spatial information in the ...