zhanghaonan314159's starred repositories
Artificial-Intelligence-Terminology-Database
A comprehensive mapping database of English to Chinese technical vocabulary in the artificial intelligence domain
Image-Fusion
Deep Learning-based Image Fusion: A Survey
top-cvpr-2023-papers
This repository is a curated collection of the most exciting and influential CVPR 2023 papers. 🔥 [Paper + Code]
ChangeDetectionRepository
This repository contains some python code of some traditional change detection methods or provides their original websites, such as SFA, MAD, and some deep learning-based change detection methods, such as SiamCRNN, DSFA, and some FCN-based methods.
Classic-and-state-of-the-art-image-fusion-methods
CBF,CVT,DTCWT,GTF,LP,MSVD,RP,Wavelet,CNN,Deepfuse,DenseFuse,FusionGAN,IFCNN,MDlatLRR,DDcGAN,ResNetFusion,NestFuse,NVCE,FusionDN,HybridMSD,PMGI,IFEVIP,StructAware,U2Fusion,MEF-GAN,JSR,ConvSR,DCHWT,MEFGAN,MWFG,PMGI,PANGAN,ect
D-AMP_Toolbox
This package contains the code to run Learned D-AMP, D-AMP, D-VAMP, D-prGAMP, and DnCNN algorithms. It also includes code to train Learned D-AMP, DnCNN, and Deep Image Prior U-net using the SURE loss.
Free-shared-Spatiotemporal-method-of-remote-sensing-
spatiotemporal fusion method
3dStructureLight
从零搭建一套结构光3D重建系统 [理论+源码+实践]
Fuzzy-c-Means-Algorithms
项目基于论文《Fuzzy c-Means Algorithms for Very Large Data》,使用Python语言实现FCM算法及其扩展算法,包括FCM、spFCM、oFCM、kFCM、reskFCM、spkFCM、okFCM。
code-for-image-fusion
This repository will list some codes of image fusion, including infrared and visible image fusion, medical image fusion, multi-focus image fusion, and multi-exposure image fusion.
Machine-Learning-Python
using scikit learn tool to perform regression, classification and tensorflow/keras/pytorch to implement artificial neural network(ANN), convolutional neural network(CNN), recurrent neural networks (RNN), Self Organizing Maps, Boltzmann Machines, AutoEncoders
satellite-image-deep-learning
Deep learning with satellite & aerial imagery
graphcut_mrf
Matlab implementation of binary graphcut for denoising and markov random field for image segmentation
DeepLearnToolbox
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
mcv-m6-2018-team7
Team 7