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3D Quasi-Recurrent Neural Network for Hyperspectral Image Denoising (TNNLS 2020)

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QRNN3D

The implementation of "3D Quasi-Recurrent Neural Network for Hyperspectral Image Denoising" (only testing code is available now)

Prerequisites

  • Python >=3.5, PyTorch >= 0.4.1
  • Requirements: opencv-python, tensorboardX, caffe
  • Platforms: Ubuntu 16.04, cuda-8.0

Quick Start

1. Preparing your training/testing datasets

Training dataset

Testing dataset

2. Playing with QRNN3D

Testing

Training

3. Define your own network

Citation

Acknowledgments

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3D Quasi-Recurrent Neural Network for Hyperspectral Image Denoising (TNNLS 2020)

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