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BDANet: Multiscale Convolutional Neural Network with Cross-directional Attention for Building Damage Assessment from Satellite Images
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✔️最全面的 深度学习CV 笔记【吴恩达 深度学习】【李沐 动手学深度学习】【我是土堆 Pytorch】
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The combination of face identification and action recognition for fall detection (ICT Journal)
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-multitempora
1st place solution for "xView2: Assess Building Damage" challenge.
Modified Unet (paired image input and more stages) for natural disaster building segmentation and damage classification for DUI XView2 2019 competition
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.