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Adversarial Spatial Pyramid Network for Remote Sensing Road Detection
The manuscript has been accepted in TMI.
CoANet: Connectivity Attention Network for Road Extraction From Satellite Imagery
Automatically Generated Notebook Slides
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被60多个国家的400多所大学用于教学。
Dual Encoder-based Dynamic-Channel Graph Convolutional Network with Edge Enhancement for Retinal Vessel Segmentation
[WACV 2024] Beyond Self-Attention: Deformable Large Kernel Attention for Medical Image Segmentation
《深度学习与计算机视觉》配套代码
Pytorch Implement of Dynamic Snake Convolution (ICCV2023)
[TGRS 2021] FactSeg: Foreground Activation Driven Small Object Semantic Segmentation in Large-Scale Remote Sensing Imagery
[ICCV 2021] "From Contexts to Locality: Ultra-high Resolution Image Segmentation via Locality-aware Contextual Correlation" by Qi Li, Weixiang Yang, Wenxi Liu, Yuanlong Yu, Shengfeng He
FreeCOS: Self-Supervised Learning from Fractals and Unlabeled Images for Curvilinear Object Segmentation (ICCV2023)
[NeurIPS 2021] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation
This repo is the official implementation of "MFVNet: Deep Adaptive Fusion Network with Multiple Field-of-Views for Remote Sensing Image Semantic Segmentation".
OpenMMLab Self-Supervised Learning Toolbox and Benchmark
Real-time Joint Semantic Reasoning for Autonomous Driving
open code for "Occlusion-aware road extraction network for high-resolution remote sensing imagery"
Open solution to the Mapping Challenge :earth_americas:
This code is an implementation of "Pairwise Semantic Segmentation via Conjugate Fully Convolutional network" published at MICCAI 2019, and its journal version published at MedIA 2021.
Generative Adversarial Networks for Power-Line Segmentation in Aerial Images
DeepLab v3+ model in PyTorch. Support different backbones.
Road extraction from satellite imagery
Official repo of paper RNGDet++: Road Network Graph Detection by Transformer with Instance Segmentation and Multi-scale Features Enhancement
A multi-stage road extraction method for surface and centerline detection
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.