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Name: XCZhou520
Type: User
Name: XCZhou520
Type: User
This data set includes Landsat 8 images and their manually extracted pixel-level ground truths for cloud detection.
Adaptive, interpretable wavelets across domains (NeurIPS 2021)
A collection of resources and papers on Diffusion Models
List of datasets, codes, and contests related to remote sensing change detection
🕶 A curated list of Tiny Object Detection papers and related resources.
Official code for "Boundary loss for highly unbalanced segmentation", runner-up for best paper award at MIDL 2019. Extended version in MedIA, volume 67, January 2021.
Pytorch re-implementation of boundary loss, proposed in "Boundary Loss for Remote Sensing Imagery Semantic Segmentation"
Yet another repository for developing and benchmarking deep learning-based change detection methods.
A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.
Deep learning models for change detection of remote sensing images
Change is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing Imagery (ICCV 2021) https://arxiv.org/abs/2108.07002
Code from the winning submissions for the On Cloud N: Cloud Cover Detection Challenge
Understanding the Role of Receptive Field of Convolutional Neural Network for Cloud Detection in Landsat 8 OLI Imagery
Code release for ConvNeXt model
End-to-end workflow for generating high resolution cropland maps
该仓库用于记录作者本人参加的各大数据科学竞赛的获奖方案源码以及一些新比赛的原创baseline. 主要涵盖:kaggle, 阿里天池,华为云大赛校园赛,百度aistudio,和鲸社区,datafountain等
The official implementation of "Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes"
[PR2022] The Code of “EANet: Iterative Edge Attention Network for Medical Image Segmentation”
We propose a new method for effective shadow removal by regarding it as an exposure fusion problem.
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Unofficial implementation of Fast-SCNN: Fast Semantic Segmentation Network
This is a reporitory for releasing a novel DA method for high-resolution remote sensing image!
UNetFormer: A UNet-like transformer for efficient semantic segmentation of remote sensing urban scene imagery. Also, including other vision transformer and CNN for satellite, aerial image and UAV image.
A Strong Baseline for Image Semantic Segmentation
source code of "LSNet: Extremely lightweight Siamese Network for Change Detection in Remote Sensing Images"
How to train an instance segmentation model with mmdetection
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
my_custom_mmdetection
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.