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a-deeply-supervised-image-fusion-network-for-change-detection-in-remote-sensing-images

Official implement of Paper：A deeply supervised image fusion network for change detection in high resolution bi-temporal remote sening images

awesome-cs-books

经典编程书籍大全，涵盖：计算机系统与网络、系统架构、算法与数据结构、前端开发、后端开发、移动开发、数据库、测试、项目与团队、程序员职业修炼、求职面试等

awesome-remote-sensing-change-detection

List of datasets, codes, and contests related to remote sensing change detection

awesome-satellite-imagery-datasets

🛰️ List of satellite image training datasets with annotations for computer vision and deep learning

awesome-semantic-segmentation

:metal: awesome-semantic-segmentation

bit_cd

Official Pytorch Implementation of "Remote Sensing Image Change Detection with Transformers"

buildseg

buildseg is a building extraction plugin of QGIS based on ONNX『buildseg是一个基于ONNX的用于建筑提取的QGIS插件』

change_detection.pytorch

Deep learning models for change detection of remote sensing images

changedetection

A framework for change detection using PyTorch

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.

changeformer

A Transformer-Based Siamese Network for Change Detection

cityscapestococo

This repo contains usable code convert cityscapes to coco format (Detectron and maskrcnn-benchmark were all broken)

coarse_loftr_trt

Distilled coarse part of LoFTR adapted for compatibility with TensorRT and embedded divices

complex-yolov4-pytorch

The PyTorch Implementation based on YOLOv4 of the paper: "Complex-YOLO: Real-time 3D Object Detection on Point Clouds"

convnext

Code release for ConvNeXt model

dataset

change detection

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deep-residual-shrinkage-networks

The deep residual shrinkage network is a variant of deep residual networks.

deepsocial

Social Distancing Monitoring and Infection Risk Assessment in COVID-19 Pandemic and Beyond

dino

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

fabric

Urban change model designed to identify changes across 2 timestamps

farseg_paddle

fcsn_for_changedetection_igarss2018

Fully Convolutional Siamese Networks for Change Detectionno

fruitsnutsseg

detectron2 support self-define data train

geoseg

Geoseg - A Computer Vision Package for Automatic Building Segmentation and Outline extraction

geoseg-1

UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery, ISPRS. Also, including other vision transformers and CNNs for satellite, aerial image and UAV image segmentation.

glnet

[CVPR 2019, Oral] "Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images" by Wuyang Chen*, Ziyu Jiang*, Zhangyang Wang, Kexin Cui, and Xiaoning Qian

iaug_cdnet

Official Pytorch Implementation of Adversarial Instance Augmentation for Building Change Detection in Remote Sensing Images.

loftr-stitch

一个利用深度学习进行特征提取匹配的图像拼接应用

loftr_trt

TensorRT adaptation of LoFTR: Detector-Free Local Feature Matching with Transformers