ChenHongruixuan

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.

MambaCD

ChangeMamba: Remote Sensing Change Detection Based on Spatio-Temporal State Space Model

In-outdoorSeamlessPositioningNavigationSystem

[Esri GIS 2nd Prize] We developed this indoor and outdoor seamless positioning and navigation system under the Android system by using the built-in multi-sensors of mobile phones.

SiamCRNN

[IEEE TGRS 2020] Official Tensorflow implementation for Change Detection in Multisource VHR Images via Deep Siamese Convolutional Multiple-Layers Recurrent Neural Network

DSMSCN

[MultiTemp 2019] Official Tensorflow implementation for Change Detection in Multi-temporal VHR Images Based on Deep Siamese Multi-scale Convolutional Neural Networks.

KPCAMNet

[IEEE TCYB 2021] Official Python implementation for Unsupervised Change Detection in Multitemporal VHR Images Based on Deep Kernel PCA Convolutional Mapping Network

SRGCAE

[IEEE TGRS 2022] Official Pytorch implementation for Unsupervised Multimodal Change Detection Based on Structural Relationship Graph Representation Learning

I3PE

[ISPRS P&RS 2023] Official implementation for Exchange means change: an unsupervised change detection framework based on intra- and inter-image patch exchange

ObjFormer

Object-guided transformer for multimodal change detection using paired OSM data and optical imagery

FDMCD

[ISPRS P&RS 2023] Official Python Implementation of Fourier domain structural relationship analysis for unsupervised multimodal change detection

RandomWaypoint

Implementing the random waypoint model based on Python for generating trajectory data.

ChenHongruixuan.github.io

Hongruixuan's Homepage

EffCDNet

Official Pytorch implementation of a very deep and efficient change detection network

afa

[CVPR 2022] Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers

CCNet-Pure-Pytorch

Criss-Cross Attention for Semantic Segmentation in pure Pytorch with a faster and more precise implementation.

CorrFusionNet

Code for Multi-Temporal Scene Classification and Scene Change Detection with Correlation based Fusion

DeepLearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06

DSFANet

Tensorflow implementation for Unsupervised Deep Slow Feature Analysis for Change Detection in Multi-Temporal Remote Sensing Images

DSRG

Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing (CVPR 2018).

HowToCook

程序员在家做饭方法指南。

HrxChen97

IntraDA

Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision (CVPR 2020 Oral)

IQA-SR

Quality Guided Single Image Super-Resolution

pygcn

Graph Convolutional Networks in PyTorch

pytorch-deeplab-xception

DeepLab v3+ model in PyTorch. Support different backbones.

TextFuseNet

A PyTorch implementation of "TextFuseNet: Scene Text Detection with Richer Fused Features".

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

ViTAE-Transformer-Remote-Sensing

The official repo of the paper "An Empirical Study of Remote Sensing Pretraining"

vwe

[IJCAI 2021] Learning Visual Words for Weakly-Supervised Semantic Segmentation

xview2

Code for xView2 challenge (https://xview2.org/) submission. 2nd place submission in Track 3: "Evaluation Only". Ranked ranked 40th on leaderboard before unverified code was removed. Paper at https://arxiv.org/pdf/2004.05525.pdf. Presentation at https://slideslive.com/38926353/building-disaster-damage-assessment-in-satelite-imagery-with-multitemporal-fusion.