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Type: Organization
Type: Organization
3D ResNets for Action Recognition
temporal action detection with SSN
Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)
Rethinking Knowledge Graph Propagation for Zero-Shot Learning
A curated list of action recognition and related area resources
A collection of AWESOME things about domian adaptation
Awesome Incremental Learning
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Visual Tracking Paper List
Simple C3D (3D convolutional Network) in Pytorch
Object detection, 3D detection, and pose estimation using center point detection:
This project is an implementation of the crowd counting model proposed in our CVPR 2017 paper - Switching Convolutional Neural Network(SCNN) for Crowd Counting. SCNN is an adaptation of the fully-convolutional neural network and uses an expert CNN that chooses the best crowd density CNN regressor for parts of the scene from a bag of regressors. This helps it tackle intra-scene crowd density variation and obtain SOTA results
The code for preparing the training data for crowd counting / segmentation algorithm.
Single Image Crowd Counting (CNN-based Cascaded Multi-task Learning of High-level Prior and Density Estimation for Crowd Counting)
CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes
CT-Net: Channel Tensorization Network for Video Classification
Code for IEEE Access paper "DA-Net: Learning the fine-grained density distribution with deformation aggregation network"
Differentiable architecture search for convolutional and recurrent networks
The codes for CVPR-2018 paper "Crowd Counting with Deep Negative Correlation Learning"
PyTorch re-implementation of DeepMask
The official implementation of paper "DIANet:Dense-and-Implicit-Attention-Network".
Density-aware Single Image De-raining using a Multi-stream Dense Network
A dual learning toolkit developed by Microsoft Research
Code and models of paper " ECO: Efficient Convolutional Network for Online Video Understanding"
PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
FCRN implemented in Pytorch 4.0
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.