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Name: 星纬
Type: User
Location: guangdong shenzhen
Name: 星纬
Type: User
Location: guangdong shenzhen
A technical report on convolution arithmetic in the context of deep learning
Code release for ConvNeXt model
COOT: Cooperative Hierarchical Transformer for Video-Text Representation Learning
accepted by ACML2017
Code for training 'CoupleNet: Coupling Global Structure with Local Parts for Object Detection' in ICCV 2017
code for CUImage and CUVideo
CREST: Convolutional Residual Learning for Visual Tracking
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
Single Image Crowd Counting (CNN-based Cascaded Multi-task Learning of High-level Prior and Density Estimation for Crowd Counting)
Stacked pooling for crowd counting
Computer Vision Annotation Tool (CVAT) is a web-based tool which helps to annotate video and images for Computer Vision algorithms
Implementation of "Strong-Weak Distribution Alignment for Adaptive Object Detection"
dabnn is an accelerated binary neural networks inference framework for mobile platform
Dual Attention Network for Scene Segmentation
Windows and Linux version of Darknet Yolo v4 (v3/v2) Neural Networks for object detection (Tensor Cores are used)
Distribution-Aware Coordinate Representation for Human Pose Estimation
Distractor-aware Siamese Networks for Visual Object Tracking (ECCV2018)
Data Augmentation For Object Detection
:scissors: Dataset Culling: Faster training of domain specific models! :scissors:
Deformable Convolutional Networks v2 with Pytorch
Pytorch implementation for "Decoupled attention network for text recognition".
The is an official implementation of our ECCV2018 paper "Revisiting RCNN: On Awakening the Classification Power of Faster RCNN (https://arxiv.org/abs/1803.06799)"
(最先进的缺陷检测网络) A Tensorflow implementation of "Segmentation-Based Deep-Learning Approach for Surface-Defect Detection"
The convertor/conversion of deep learning models for different deep learning frameworks/softwares.
Tangible and Practical Deep Learning Projects Repository for Healthcare such as Cancer, Drug Discovery, Genomic and More
Code and data for paper "Deep Painterly Harmonization": https://arxiv.org/abs/1804.03189
Pytorch implementation of deep person re-identification models.
Deep Clustering for Unsupervised Learning of Visual Features
Caffe for Deep Compression
Segmentation realize Deeperlab only segmentation part
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.