Calibrated Hyperspectral Image Reconstruction via Graph-based Self-Tuning Network.

Last update: Dec 29, 2022

Overview

mask-uncertainty-in-HSI

This repository contains the testing code and pre-trained models for the paper Calibrated Hyperspectral Image Reconstruction via Graph-based Self-Tuning Network.

Requirements

Python 3.7.10
Pytorch 1.9.1
Numpy 1.21.2
Scipy 1.7.1

Test

Ten simulation testing HSI (256x256x28) are provided. Testing trials can be determined by specify trial_num

To test a pre-trained model under miscalibration many-to-many, specify mode as many_to_many, last_train as 661.

To test a pre-trained model under miscalibration one-to-many, specify mode as one_to_many, last_train as 662.

To test a pre-trained model under traditional setting one-to-one, specify mode as one_to_one, last_train as 662.

Run

python test.py

Structure of directories

directory	description
`Data`	Ten simulation testing HSIs and two real masks for testing (256x256 and 660x660)
`test`	testing script
`utils`	utility functions
`tools`	model components
`ssim_torch`	function for computing SSIM
`many_to_many`	model structure and model checkpoint for miscalibration (many-to-many)
`one_to_many`	model structure and model checkpoint for miscalibration (one-to-many)
`one_to_one`	model structure and model checkpoint for traditional setting (one-to-one)

mask_uncertainty_spectral_SCI

Calibrated Hyperspectral Image Reconstruction via Graph-based Self-Tuning Network.

Related tags

Overview

mask-uncertainty-in-HSI

Requirements

Test

Structure of directories

mask_uncertainty_spectral_SCI

Owner

JIAMIAN WANG

PROJECT - Az Residential Real Estate Analysis

PyTorch implementation of "Debiased Visual Question Answering from Feature and Sample Perspectives" (NeurIPS 2021)

Frigate - NVR With Realtime Object Detection for IP Cameras

paper: Hyperspectral Remote Sensing Image Classification Using Deep Convolutional Capsule Network

This repository contains the code, data, and models of the paper titled "XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages" published in Findings of the Association for Computational Linguistics: ACL 2021.

ARKitScenes - A Diverse Real-World Dataset for 3D Indoor Scene Understanding Using Mobile RGB-D Data

Pytorch Lightning Distributed Accelerators using Ray

NeuralForecast is a Python library for time series forecasting with deep learning models

LieTransformer: Equivariant Self-Attention for Lie Groups

PyTorch Implementation of Spatially Consistent Representation Learning(SCRL)

Emotion Recognition from Facial Images

TLXZoo - Pre-trained models based on TensorLayerX

Lunar is a neural network aimbot that uses real-time object detection accelerated with CUDA on Nvidia GPUs.

Image-popularity-score - A novel deep regression method for image scoring.

This repository contains the code used to quantitatively evaluate counterfactual examples in the associated paper.

High performance distributed framework for training deep learning recommendation models based on PyTorch.

Official Implementation (PyTorch) of "Point Cloud Augmentation with Weighted Local Transformations", ICCV 2021

Github Traffic Insights as Prometheus metrics.

Logsig-RNN: a novel network for robust and efficient skeleton-based action recognition

Classification of ecg datas for disease detection