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Paper bank for Self-Supervised Learning
:metal: awesome-semantic-segmentation
Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)
Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
Some basic image segmentation algorithms, include mean-shift, graph-based, SLIC, SEEDS, GrabCut, OneCut, et al.
BCDU-Net : Medical Image Segmentation
Boundary Enhancement Semantic Segmentation for Building Extraction from Remote Sensed Image
Winning building footprint detector implementations from the SpaceNet challenges.
Building detector algorithms from second SpaceNet Challenge
Configure Caffe in one hour for Windows users.
Self-Supervised Extrinsic Calibration using 3D Spatial Transformer Networks
A image registration method using convolutional neural network features.
CNNGeometric PyTorch implementation
Code for our CVPR 2019 work.
Connected components on multilabel 3D & 2D images. Handles 26, 18, and 6 connected variants.
This repository contains the reference implementation for our proposed Convolutional CRFs.
吴恩达老师的机器学习课程个人笔记
Path planning for dormitory irradiation by robot
This repository contains code and dataset for the task crack segmentation using two architectures UNet_VGG16, UNet_Resnet and DenseNet-Tiramusu
CVPR 2019 Paper with Code
记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文
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
PyTorch Implementation for Deep Metric Learning Pipelines
Methods and Implements of Deep Clustering
DeepCrack: A Deep Hierarchical Feature Learning Architecture for Crack Segmentation
A higher performance pytorch implementation of DeepLab V3 Plus(DeepLab v3+)
Metric/Embedding learning using (convolutional) neural network with application to keypoint matching, stereo matching, image retrival, etc
Deformable ConvNets V2 (DCNv2) in PyTorch
Code and Dataset for ICCV 2019 paper. "Depth-induced Multi-scale Recurrent Attention Network for Saliency 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.